---
_id: '4306'
author:
- first_name: Malte
full_name: Riechmann, Malte
id: '229000'
last_name: Riechmann
- first_name: André
full_name: Kirsch, André
id: '229807'
last_name: Kirsch
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
citation:
alphadin: 'Riechmann, Malte ; Kirsch, André ; König,
Matthias ; Rexilius, Jan:
Virtual Borders in 3D: Defining a Drone’s Movement Space Using Augmented Reality.
In: , 2024'
ama: 'Riechmann M, Kirsch A, König M, Rexilius J. Virtual Borders in 3D: Defining
a Drone’s Movement Space Using Augmented Reality. In: ; 2024.'
apa: 'Riechmann, M., Kirsch, A., König, M., & Rexilius, J. (2024). Virtual Borders
in 3D: Defining a Drone’s Movement Space Using Augmented Reality. Presented at
the IEEE International Conference on Robotics and Automation, Yokohama.'
bibtex: '@inproceedings{Riechmann_Kirsch_König_Rexilius_2024, title={Virtual Borders
in 3D: Defining a Drone’s Movement Space Using Augmented Reality}, author={Riechmann,
Malte and Kirsch, André and König, Matthias and Rexilius, Jan}, year={2024} }'
chicago: 'Riechmann, Malte, André Kirsch, Matthias König, and Jan Rexilius. “Virtual
Borders in 3D: Defining a Drone’s Movement Space Using Augmented Reality,” 2024.'
ieee: 'M. Riechmann, A. Kirsch, M. König, and J. Rexilius, “Virtual Borders in 3D:
Defining a Drone’s Movement Space Using Augmented Reality,” presented at the IEEE
International Conference on Robotics and Automation, Yokohama, 2024.'
mla: 'Riechmann, Malte, et al. Virtual Borders in 3D: Defining a Drone’s Movement
Space Using Augmented Reality. 2024.'
short: 'M. Riechmann, A. Kirsch, M. König, J. Rexilius, in: 2024.'
conference:
end_date: 2024-05-17
location: Yokohama
name: IEEE International Conference on Robotics and Automation
start_date: 2024-05-13
date_created: 2024-02-07T07:21:42Z
date_updated: 2024-02-07T10:13:56Z
language:
- iso: eng
quality_controlled: '1'
status: public
title: 'Virtual Borders in 3D: Defining a Drone’s Movement Space Using Augmented Reality'
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '4307'
abstract:
- lang: eng
text: In the modern household autonomous service robots are becoming increasingly
popular. Changing the behavioral patterns robots working in 3D spaces can propose
a challenge for non-expert users. We propose to use augmented reality as an interface
to modify the robot’s behavior using virtual artifacts. Our contribution is an
AR application that acts as an interface to interactively plan a drone’s path
including generating and modifying its path. This also includes two interaction
methods for changing the position of virtual objects in 3D space. The first method
is based on pan gestures that are commonly in 2D mobile applications, while the
second one implements a grasp and release mechanism based on the device’s motion.
As a visual aid we employ a simulated drone. A user study was performed to evaluate
and compare the two interaction methods. The study had with 18 participants that
had to interactively plan a path. The majority of participants preferred the motion-based
interaction method, as it was more comfortable to use. However, the touch interaction
is more intuitive without any additional information. The resulting paths can
be divided in three distinct clusters, which can be used in future work to improve
the automatically generated paths.
author:
- first_name: Malte
full_name: Riechmann, Malte
id: '229000'
last_name: Riechmann
- first_name: André
full_name: Kirsch, André
id: '229807'
last_name: Kirsch
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Riechmann, Malte ; Kirsch, André ; König,
Matthias: Augmented Reality for Interactive Path Planning in 3D. In: 2023
IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) :
IEEE, 2023, S. 561–566'
ama: 'Riechmann M, Kirsch A, König M. Augmented Reality for Interactive Path Planning
in 3D. In: 2023 IEEE International Symposium on Mixed and Augmented Reality
Adjunct (ISMAR-Adjunct). IEEE; 2023:561-566. doi:10.1109/ISMAR-Adjunct60411.2023.00119'
apa: 'Riechmann, M., Kirsch, A., & König, M. (2023). Augmented Reality for Interactive
Path Planning in 3D. In 2023 IEEE International Symposium on Mixed and Augmented
Reality Adjunct (ISMAR-Adjunct) (pp. 561–566). Sydney, Australia: IEEE. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00119'
bibtex: '@inproceedings{Riechmann_Kirsch_König_2023, title={Augmented Reality for
Interactive Path Planning in 3D}, DOI={10.1109/ISMAR-Adjunct60411.2023.00119},
booktitle={2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct
(ISMAR-Adjunct)}, publisher={IEEE}, author={Riechmann, Malte and Kirsch, André
and König, Matthias}, year={2023}, pages={561–566} }'
chicago: Riechmann, Malte, André Kirsch, and Matthias König. “Augmented Reality
for Interactive Path Planning in 3D.” In 2023 IEEE International Symposium
on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 561–66. IEEE, 2023.
https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00119.
ieee: M. Riechmann, A. Kirsch, and M. König, “Augmented Reality for Interactive
Path Planning in 3D,” in 2023 IEEE International Symposium on Mixed and Augmented
Reality Adjunct (ISMAR-Adjunct), Sydney, Australia, 2023, pp. 561–566.
mla: Riechmann, Malte, et al. “Augmented Reality for Interactive Path Planning in
3D.” 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct
(ISMAR-Adjunct), IEEE, 2023, pp. 561–66, doi:10.1109/ISMAR-Adjunct60411.2023.00119.
short: 'M. Riechmann, A. Kirsch, M. König, in: 2023 IEEE International Symposium
on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), IEEE, 2023, pp. 561–566.'
conference:
end_date: 2023-10-20
location: Sydney, Australia
name: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
start_date: 2023-10-16
date_created: 2024-02-07T07:36:09Z
date_updated: 2024-02-07T10:16:44Z
doi: 10.1109/ISMAR-Adjunct60411.2023.00119
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322188
page: 561-566
publication: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct
(ISMAR-Adjunct)
publication_identifier:
eisbn:
- 979-8-3503-2891-2
publication_status: published
publisher: IEEE
status: public
title: Augmented Reality for Interactive Path Planning in 3D
type: conference
user_id: '220548'
year: '2023'
...
---
_id: '3656'
abstract:
- lang: eng
text: Micro aerial vehicles (MAVs) are often limited due to weight or cost constraints.
This results in low sensor variety and sometimes even in low sensor quality. For
example, many MAVs only offer a single RGB camera to capture the environment,
apart from simple distance sensors. On the other side, maps of complex environments
are typically captured using depth sensors like Lidar, which are not found on
such drones. For MAVs to still benefit from and use these maps, it is necessary
to implement a connection layer that enables the localization of the MAV in these
maps. In this paper, we propose to use fiducial markers that can be recorded by
an assisting device, e.g., a mobile phone or tablet, responsible for map creation.
These fiducial markers have a known pose in the map and can be detected by a drone's
RGB camera to localize itself. We show that the markers are localized in the map
creation process with high precision and that the drone is able to determine its
pose based on detected markers. Furthermore, we present a ROS 2 based drone controller
for a Ryze Tello EDU MAV that uses an occupancy voxel map for navigation.
author:
- first_name: André
full_name: Kirsch, André
id: '229807'
last_name: Kirsch
- first_name: Malte
full_name: Riechmann, Malte
id: '229000'
last_name: Riechmann
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Kirsch, André ; Riechmann,
Malte ; König, Matthias:
Assisted Localization of MAVs for Navigation in Indoor Environments Using Fiducial
Markers. In: 2023 European Conference on Mobile Robots (ECMR) : IEEE, 2023'
ama: 'Kirsch A, Riechmann M, König M. Assisted Localization of MAVs for Navigation
in Indoor Environments Using Fiducial Markers. In: 2023 European Conference
on Mobile Robots (ECMR). IEEE; 2023. doi:10.1109/ECMR59166.2023.10256424'
apa: 'Kirsch, A., Riechmann, M., & König, M. (2023). Assisted Localization of
MAVs for Navigation in Indoor Environments Using Fiducial Markers. In 2023
European Conference on Mobile Robots (ECMR). Coimbra, Portugal: IEEE. https://doi.org/10.1109/ECMR59166.2023.10256424'
bibtex: '@inproceedings{Kirsch_Riechmann_König_2023, title={Assisted Localization
of MAVs for Navigation in Indoor Environments Using Fiducial Markers}, DOI={10.1109/ECMR59166.2023.10256424},
booktitle={2023 European Conference on Mobile Robots (ECMR)}, publisher={IEEE},
author={Kirsch, André and Riechmann, Malte and König, Matthias}, year={2023} }'
chicago: Kirsch, André, Malte Riechmann, and Matthias König. “Assisted Localization
of MAVs for Navigation in Indoor Environments Using Fiducial Markers.” In 2023
European Conference on Mobile Robots (ECMR). IEEE, 2023. https://doi.org/10.1109/ECMR59166.2023.10256424.
ieee: A. Kirsch, M. Riechmann, and M. König, “Assisted Localization of MAVs for
Navigation in Indoor Environments Using Fiducial Markers,” in 2023 European
Conference on Mobile Robots (ECMR), Coimbra, Portugal, 2023.
mla: Kirsch, André, et al. “Assisted Localization of MAVs for Navigation in Indoor
Environments Using Fiducial Markers.” 2023 European Conference on Mobile Robots
(ECMR), IEEE, 2023, doi:10.1109/ECMR59166.2023.10256424.
short: 'A. Kirsch, M. Riechmann, M. König, in: 2023 European Conference on Mobile
Robots (ECMR), IEEE, 2023.'
conference:
end_date: 2023-09-7
location: Coimbra, Portugal
name: 2023 European Conference on Mobile Robots (ECMR)
start_date: 2023-09-4
date_created: 2023-10-16T14:13:13Z
date_updated: 2023-10-18T12:17:05Z
doi: 10.1109/ECMR59166.2023.10256424
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://findresearcher.sdu.dk/ws/portalfiles/portal/241929985/Tello_ROS.pdf
oa: '1'
publication: 2023 European Conference on Mobile Robots (ECMR)
publication_identifier:
eisbn:
- 979-8-3503-0704-7
publication_status: published
publisher: IEEE
status: public
title: Assisted Localization of MAVs for Navigation in Indoor Environments Using Fiducial
Markers
type: conference
user_id: '216066'
year: '2023'
...
---
_id: '3450'
abstract:
- lang: eng
text: In this work, we have developed a novel intelligent system capable of detecting
and managing dynamic hazards in intelligent buildings. Our calculation of escape
route strategies, numerical analysis, and visualization of evacuations, makes
it possible to realistically investigate and evaluate hazards. For this purpose,
we translated a real building into a static 3D model based on a building plan.
For the analysis of evacuation scenarios, dynamic hazards were developed, which
can also propagate dynamically over time. The computation of the escape route
strategies is performed by using the Deep Reinforcement Learning (DRL) method
Proximal Policy optimization (PPO). This work demonstrates that dynamic hazards
have a great impact on the evacuation strategy in the building and can be analyzed
by using this approach. Compared to traditional AI frameworks, scenarios can be
created and analyzed both numerically and visually. As a result, the behavior
of agents during training and evacuation can be examined for natural behavior.
alternative_id:
- '2438'
author:
- first_name: Tim
full_name: Wächter, Tim
id: '211575'
last_name: Wächter
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Wächter, Tim ; Rexilius,
Jan ; König, Matthias: Escape
Route Strategies in Complex Emergency Situations using Deep Reinforcement Learning.
In: 2023 19th International Conference on Intelligent Environments (IE) :
IEEE, 2023, S. 1–8'
ama: 'Wächter T, Rexilius J, König M. Escape Route Strategies in Complex Emergency
Situations using Deep Reinforcement Learning. In: 2023 19th International Conference
on Intelligent Environments (IE). IEEE; 2023:1-8. doi:10.1109/IE57519.2023.10179101'
apa: 'Wächter, T., Rexilius, J., & König, M. (2023). Escape Route Strategies
in Complex Emergency Situations using Deep Reinforcement Learning. In 2023
19th International Conference on Intelligent Environments (IE) (pp. 1–8).
Uniciti, Mauritius: IEEE. https://doi.org/10.1109/IE57519.2023.10179101'
bibtex: '@inproceedings{Wächter_Rexilius_König_2023, title={Escape Route Strategies
in Complex Emergency Situations using Deep Reinforcement Learning}, DOI={10.1109/IE57519.2023.10179101},
booktitle={2023 19th International Conference on Intelligent Environments (IE)},
publisher={IEEE}, author={Wächter, Tim and Rexilius, Jan and König, Matthias},
year={2023}, pages={1–8} }'
chicago: Wächter, Tim, Jan Rexilius, and Matthias König. “Escape Route Strategies
in Complex Emergency Situations Using Deep Reinforcement Learning.” In 2023
19th International Conference on Intelligent Environments (IE), 1–8. IEEE,
2023. https://doi.org/10.1109/IE57519.2023.10179101.
ieee: T. Wächter, J. Rexilius, and M. König, “Escape Route Strategies in Complex
Emergency Situations using Deep Reinforcement Learning,” in 2023 19th International
Conference on Intelligent Environments (IE), Uniciti, Mauritius, 2023, pp.
1–8.
mla: Wächter, Tim, et al. “Escape Route Strategies in Complex Emergency Situations
Using Deep Reinforcement Learning.” 2023 19th International Conference on Intelligent
Environments (IE), IEEE, 2023, pp. 1–8, doi:10.1109/IE57519.2023.10179101.
short: 'T. Wächter, J. Rexilius, M. König, in: 2023 19th International Conference
on Intelligent Environments (IE), IEEE, 2023, pp. 1–8.'
conference:
end_date: 2023-06-30
location: Uniciti, Mauritius
name: 2023 19th International Conference on Intelligent Environments (IE)
start_date: 2023-06-27
date_created: 2023-08-16T11:50:04Z
date_updated: 2023-08-17T12:58:04Z
doi: 10.1109/IE57519.2023.10179101
language:
- iso: eng
page: 1-8
publication: 2023 19th International Conference on Intelligent Environments (IE)
publication_identifier:
eisbn:
- 979-8-3503-1222-5
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Escape Route Strategies in Complex Emergency Situations using Deep Reinforcement
Learning
type: conference
user_id: '245590'
year: '2023'
...
---
_id: '2292'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
citation:
alphadin: 'Viertel, Philipp ; König, Matthias ; Rexilius,
Jan: Metric-Based Few-Shot Learning for Pollen Grain Image Classification.
In: Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods - ICPRAM, 2023, S. 418–425'
ama: 'Viertel P, König M, Rexilius J. Metric-Based Few-Shot Learning for Pollen
Grain Image Classification. In: Proceedings of the 12th International Conference
on Pattern Recognition Applications and Methods - ICPRAM. ; 2023:418-425.
doi:10.5220/0011727900003411'
apa: Viertel, P., König, M., & Rexilius, J. (2023). Metric-Based Few-Shot Learning
for Pollen Grain Image Classification. In Proceedings of the 12th International
Conference on Pattern Recognition Applications and Methods - ICPRAM (pp. 418–425).
Lisbon, Portugal. https://doi.org/10.5220/0011727900003411
bibtex: '@inproceedings{Viertel_König_Rexilius_2023, title={Metric-Based Few-Shot
Learning for Pollen Grain Image Classification}, DOI={10.5220/0011727900003411},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods - ICPRAM}, author={Viertel, Philipp and König, Matthias
and Rexilius, Jan}, year={2023}, pages={418–425} }'
chicago: Viertel, Philipp, Matthias König, and Jan Rexilius. “Metric-Based Few-Shot
Learning for Pollen Grain Image Classification.” In Proceedings of the 12th
International Conference on Pattern Recognition Applications and Methods - ICPRAM,
418–25, 2023. https://doi.org/10.5220/0011727900003411.
ieee: P. Viertel, M. König, and J. Rexilius, “Metric-Based Few-Shot Learning for
Pollen Grain Image Classification,” in Proceedings of the 12th International
Conference on Pattern Recognition Applications and Methods - ICPRAM, Lisbon,
Portugal, 2023, pp. 418–425.
mla: Viertel, Philipp, et al. “Metric-Based Few-Shot Learning for Pollen Grain Image
Classification.” Proceedings of the 12th International Conference on Pattern
Recognition Applications and Methods - ICPRAM, 2023, pp. 418–25, doi:10.5220/0011727900003411.
short: 'P. Viertel, M. König, J. Rexilius, in: Proceedings of the 12th International
Conference on Pattern Recognition Applications and Methods - ICPRAM, 2023, pp.
418–425.'
conference:
end_date: 24.02.2023
location: Lisbon, Portugal
start_date: 22.02.2023
date_created: 2023-01-09T09:05:03Z
date_updated: 2023-03-06T08:27:32Z
department:
- _id: '102'
doi: 10.5220/0011727900003411
language:
- iso: eng
page: 418-425
publication: Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods - ICPRAM
publication_identifier:
isbn:
- 978-989-758-626-2
publication_status: published
status: public
title: Metric-Based Few-Shot Learning for Pollen Grain Image Classification
type: conference
user_id: '216274'
year: '2023'
...
---
_id: '1986'
abstract:
- lang: eng
text: Robots are constantly becoming more integral in the day-to-day lives of humanity.
To do this, they have to accomplish tasks autonomously in dynamically changing
environments. Dynamic objects often need to be handled differently than static
objects because they cause changes in the environment. To solve the problem, we
propose a 3D-Multi-Layer-Multi-Representation map. The overall map consists of
multiple layers with custom semantics and custom representation types. A static
layer models the static environment using an octomap. A second layer models generic
dynamic objects as bounding boxes. Semantic segmentation is used to decide which
measurement belongs to a dynamic object. These are all objects of beforehand defined
classes. This allows customized update strategies for both types of objects. The
experiments show that this increases the accuracy and efficiency of the overall
map, as well as the individual layers. A third layer, the human layer that stores
the poses of all persons, is added to the map. This allows to precisely see what
a human is doing in the exact moment. Using different representations types, the
overall map does not only have a higher accuracy and efficiency, but also provides
more in-depth knowledge of the scene.
author:
- first_name: Malte
full_name: Riechmann, Malte
id: '229000'
last_name: Riechmann
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
citation:
alphadin: 'Riechmann, Malte ; König, Matthias ; Rexilius,
Jan: 3D-Multi-Layer-Multi-Representation-Maps for Short- and Long-term
Mapping and Navigation. In:'
ama: Riechmann M, König M, Rexilius J. 3D-Multi-Layer-Multi-Representation-Maps
for Short- and Long-term Mapping and Navigation. doi:10.1109/ICAC55051.2022.9911141
apa: Riechmann, M., König, M., & Rexilius, J. (n.d.). 3D-Multi-Layer-Multi-Representation-Maps
for Short- and Long-term Mapping and Navigation. Presented at the The 27th International
Conference on Automation and Computing (ICAC2022), Bristol. https://doi.org/10.1109/ICAC55051.2022.9911141
bibtex: '@inproceedings{Riechmann_König_Rexilius, title={3D-Multi-Layer-Multi-Representation-Maps
for Short- and Long-term Mapping and Navigation}, DOI={10.1109/ICAC55051.2022.9911141},
author={Riechmann, Malte and König, Matthias and Rexilius, Jan} }'
chicago: Riechmann, Malte, Matthias König, and Jan Rexilius. “3D-Multi-Layer-Multi-Representation-Maps
for Short- and Long-Term Mapping and Navigation,” n.d. https://doi.org/10.1109/ICAC55051.2022.9911141.
ieee: M. Riechmann, M. König, and J. Rexilius, “3D-Multi-Layer-Multi-Representation-Maps
for Short- and Long-term Mapping and Navigation,” presented at the The 27th International
Conference on Automation and Computing (ICAC2022), Bristol.
mla: Riechmann, Malte, et al. 3D-Multi-Layer-Multi-Representation-Maps for Short-
and Long-Term Mapping and Navigation. doi:10.1109/ICAC55051.2022.9911141.
short: 'M. Riechmann, M. König, J. Rexilius, in: n.d.'
conference:
end_date: 2022-09-03
location: Bristol
name: The 27th International Conference on Automation and Computing (ICAC2022)
start_date: 2022-09-01
date_created: 2022-06-21T13:32:04Z
date_updated: 2024-02-07T07:26:10Z
doi: 10.1109/ICAC55051.2022.9911141
keyword:
- Robotics
- Mapping
- Multi-Layer-Map
language:
- iso: eng
publication_status: accepted
quality_controlled: '1'
status: public
title: 3D-Multi-Layer-Multi-Representation-Maps for Short- and Long-term Mapping and
Navigation
type: conference
user_id: '229000'
year: '2022'
...
---
_id: '2084'
abstract:
- lang: eng
text: "Intelligent buildings offer a great opportunity to evacuate people more efficiently
and safely by using dynamic evacuation guidance systems in comparison to static
escape route signs. Static systems are unable to react to temporary events; their
signs might guide the occupants directly to the hazard in the worst case. A dynamic
system on the other hand determines the hazard position and calculates and displays
an alternative escape route to avoiding the hazard position. In this work, we
present a detailed study of current research approaches and introduce two algorithms
developed for building evacuation. The first algorithm demonstrates the static
evacuation and leads directly to the nearest exit. The second algorithm reacts
dynamically to temporary events such as fire. A comparison of these algorithms
shows that the dynamic system is more efficient. In order to test the dynamic
approach in a real environment, a device to display the evacuation route is required.
We propose a novel interactive evacuation approach using mixed reality glasses
(HoloLens) for user guidance. A user study shows the advantages of the HoloLens
and verifies our findings from the simulation in a real environment.\r\n "
article_type: original
author:
- first_name: Tim
full_name: Wächter, Tim
id: '211575'
last_name: Wächter
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Wächter, Tim ; Rexilius,
Jan ; König, Matthias: Interactive
evacuation in intelligent buildings assisted by mixed reality. In: Journal
of Smart Cities and Society, IOS Press (2022), S. 1–16'
ama: Wächter T, Rexilius J, König M. Interactive evacuation in intelligent buildings
assisted by mixed reality. Journal of Smart Cities and Society. 2022:1-16.
doi:10.3233/SCS-220009
apa: Wächter, T., Rexilius, J., & König, M. (2022). Interactive evacuation in
intelligent buildings assisted by mixed reality. Journal of Smart Cities and
Society, 1–16. https://doi.org/10.3233/SCS-220009
bibtex: '@article{Wächter_Rexilius_König_2022, title={Interactive evacuation in
intelligent buildings assisted by mixed reality}, DOI={10.3233/SCS-220009},
journal={Journal of Smart Cities and Society}, publisher={IOS Press}, author={Wächter,
Tim and Rexilius, Jan and König, Matthias}, year={2022}, pages={1–16} }'
chicago: Wächter, Tim, Jan Rexilius, and Matthias König. “Interactive Evacuation
in Intelligent Buildings Assisted by Mixed Reality.” Journal of Smart Cities
and Society, 2022, 1–16. https://doi.org/10.3233/SCS-220009.
ieee: T. Wächter, J. Rexilius, and M. König, “Interactive evacuation in intelligent
buildings assisted by mixed reality,” Journal of Smart Cities and Society,
pp. 1–16, 2022.
mla: Wächter, Tim, et al. “Interactive Evacuation in Intelligent Buildings Assisted
by Mixed Reality.” Journal of Smart Cities and Society, IOS Press, 2022,
pp. 1–16, doi:10.3233/SCS-220009.
short: T. Wächter, J. Rexilius, M. König, Journal of Smart Cities and Society (2022)
1–16.
date_created: 2022-08-15T09:44:36Z
date_updated: 2023-06-16T13:37:41Z
doi: 10.3233/SCS-220009
language:
- iso: eng
page: 1-16
publication: Journal of Smart Cities and Society
publication_identifier:
eissn:
- '27723585'
issn:
- '27723577'
publication_status: published
publisher: IOS Press
quality_controlled: '1'
status: public
title: Interactive evacuation in intelligent buildings assisted by mixed reality
type: journal_article
user_id: '216459'
year: '2022'
...
---
_id: '1988'
author:
- first_name: Tim
full_name: Wächter, Tim
id: '211575'
last_name: Wächter
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
- first_name: Martin
full_name: Hoffmann, Martin
last_name: Hoffmann
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Wächter, Tim ; Rexilius,
Jan ; Hoffmann, Martin ;
König, Matthias: Intelligent Building
Evacuation under Consideration of Temporary Events and Dynamic Fire Propagation.
In: 2022 18th International Conference on Intelligent Environments (IE) :
IEEE, 2022'
ama: 'Wächter T, Rexilius J, Hoffmann M, König M. Intelligent Building Evacuation
under Consideration of Temporary Events and Dynamic Fire Propagation. In: 2022
18th International Conference on Intelligent Environments (IE). IEEE; 2022.
doi:10.1109/IE54923.2022.9826762'
apa: 'Wächter, T., Rexilius, J., Hoffmann, M., & König, M. (2022). Intelligent
Building Evacuation under Consideration of Temporary Events and Dynamic Fire Propagation.
In 2022 18th International Conference on Intelligent Environments (IE).
Biarritz, France: IEEE. https://doi.org/10.1109/IE54923.2022.9826762'
bibtex: '@inproceedings{Wächter_Rexilius_Hoffmann_König_2022, title={Intelligent
Building Evacuation under Consideration of Temporary Events and Dynamic Fire Propagation},
DOI={10.1109/IE54923.2022.9826762},
booktitle={2022 18th International Conference on Intelligent Environments (IE)},
publisher={IEEE}, author={Wächter, Tim and Rexilius, Jan and Hoffmann, Martin
and König, Matthias}, year={2022} }'
chicago: Wächter, Tim, Jan Rexilius, Martin Hoffmann, and Matthias König. “Intelligent
Building Evacuation under Consideration of Temporary Events and Dynamic Fire Propagation.”
In 2022 18th International Conference on Intelligent Environments (IE).
IEEE, 2022. https://doi.org/10.1109/IE54923.2022.9826762.
ieee: T. Wächter, J. Rexilius, M. Hoffmann, and M. König, “Intelligent Building
Evacuation under Consideration of Temporary Events and Dynamic Fire Propagation,”
in 2022 18th International Conference on Intelligent Environments (IE),
Biarritz, France, 2022.
mla: Wächter, Tim, et al. “Intelligent Building Evacuation under Consideration of
Temporary Events and Dynamic Fire Propagation.” 2022 18th International Conference
on Intelligent Environments (IE), IEEE, 2022, doi:10.1109/IE54923.2022.9826762.
short: 'T. Wächter, J. Rexilius, M. Hoffmann, M. König, in: 2022 18th International
Conference on Intelligent Environments (IE), IEEE, 2022.'
conference:
end_date: 2022-06-23
location: Biarritz, France
name: 2022 18th International Conference on Intelligent Environments (IE)
start_date: 2022-06-20
date_created: 2022-06-24T13:25:35Z
date_updated: 2023-06-16T11:58:07Z
department:
- _id: '102'
doi: 10.1109/IE54923.2022.9826762
language:
- iso: eng
publication: 2022 18th International Conference on Intelligent Environments (IE)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Intelligent Building Evacuation under Consideration of Temporary Events and
Dynamic Fire Propagation
type: conference
user_id: '216459'
year: '2022'
...
---
_id: '1969'
author:
- first_name: Andrei
full_name: Günter, Andrei
id: '225747'
last_name: Günter
orcid: 0000-0002-7836-9700
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Günter, Andrei ; König, Matthias: Improved Edge Computing
for IoT Devices via Optimized Semantic Models. In: Günes,
M. ; Zug, S. ; König,
M. ; IEEE (Hrsg.): 2nd
Workshop on Tools and Concepts for Communication and Networked Systems, 2022'
ama: 'Günter A, König M. Improved Edge Computing for IoT Devices via Optimized Semantic
Models. In: Günes M, Zug S, König M, IEEE, eds. 2nd Workshop on Tools and Concepts
for Communication and Networked Systems. ; 2022.'
apa: Günter, A., & König, M. (2022). Improved Edge Computing for IoT Devices
via Optimized Semantic Models. In M. Günes, S. Zug, M. König, & IEEE (Eds.),
2nd Workshop on Tools and Concepts for Communication and Networked Systems.
Budapest, Hungary.
bibtex: '@inproceedings{Günter_König_2022, title={Improved Edge Computing for IoT
Devices via Optimized Semantic Models}, booktitle={2nd Workshop on Tools and Concepts
for Communication and Networked Systems}, author={Günter, Andrei and König, Matthias},
editor={Günes, Mesut and Zug, Sebastian and König, Matthias and IEEEEditors},
year={2022} }'
chicago: Günter, Andrei, and Matthias König. “Improved Edge Computing for IoT Devices
via Optimized Semantic Models.” In 2nd Workshop on Tools and Concepts for Communication
and Networked Systems, edited by Mesut Günes, Sebastian Zug, Matthias König,
and IEEE, 2022.
ieee: A. Günter and M. König, “Improved Edge Computing for IoT Devices via Optimized
Semantic Models,” in 2nd Workshop on Tools and Concepts for Communication and
Networked Systems, Budapest, Hungary, 2022.
mla: Günter, Andrei, and Matthias König. “Improved Edge Computing for IoT Devices
via Optimized Semantic Models.” 2nd Workshop on Tools and Concepts for Communication
and Networked Systems, edited by Mesut Günes et al., 2022.
short: 'A. Günter, M. König, in: M. Günes, S. Zug, M. König, IEEE (Eds.), 2nd Workshop
on Tools and Concepts for Communication and Networked Systems, 2022.'
conference:
end_date: 2022-04-29
location: Budapest, Hungary
name: IEEE/IFIP Network Operations and Management Symposium
start_date: 2022-04-25
corporate_editor:
- IEEE
date_created: 2022-05-24T14:35:09Z
date_updated: 2023-06-16T11:36:29Z
editor:
- first_name: Mesut
full_name: Günes, Mesut
last_name: Günes
- first_name: Sebastian
full_name: Zug, Sebastian
last_name: Zug
- first_name: Matthias
full_name: König, Matthias
last_name: König
language:
- iso: eng
publication: 2nd Workshop on Tools and Concepts for Communication and Networked Systems
status: public
title: Improved Edge Computing for IoT Devices via Optimized Semantic Models
type: conference
user_id: '216459'
year: '2022'
...
---
_id: '1966'
abstract:
- lang: eng
text: Point cloud registration is often used in fields like SLAM where the overlap
of two consecutive point clouds is large. But in fields like multi-sensor fusion
of point clouds and LiDAR-based localization, there is a high chance of registering
non-overlapping point cloud pairs. Since in such cases, the result will always
be a wrong transformation, it is useful to evaluate the alignability of the point
cloud pairs prior to the registration. In this paper, an algorithm is presented
that predicts the alignability of two point clouds based on the minimum distances
of descriptors. It calculates statistical measures describing the minimum distances
and classifies the point cloud pairs. The paper shows that it is possible to predict
the alignability and evaluates the runtime compared to registration algorithms,
as well as the ignoring of the largest minimum distances.
author:
- first_name: André
full_name: Kirsch, André
id: '229807'
last_name: Kirsch
- first_name: Andrei
full_name: Günter, Andrei
id: '225747'
last_name: Günter
orcid: 0000-0002-7836-9700
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Kirsch, André ; Günter,
Andrei ; König, Matthias:
Predicting Alignability of Point Cloud Pairs for Point Cloud Registration Using
Features. In: 12th International Conference on Pattern Recognition Systems :
IEEE, 2022'
ama: 'Kirsch A, Günter A, König M. Predicting Alignability of Point Cloud Pairs
for Point Cloud Registration Using Features. In: 12th International Conference
on Pattern Recognition Systems. IEEE; 2022. doi:10.1109/ICPRS54038.2022.9854071'
apa: 'Kirsch, A., Günter, A., & König, M. (2022). Predicting Alignability of
Point Cloud Pairs for Point Cloud Registration Using Features. In 12th International
Conference on Pattern Recognition Systems. Saint-Étienne: IEEE. https://doi.org/10.1109/ICPRS54038.2022.9854071'
bibtex: '@inproceedings{Kirsch_Günter_König_2022, title={Predicting Alignability
of Point Cloud Pairs for Point Cloud Registration Using Features}, DOI={10.1109/ICPRS54038.2022.9854071},
booktitle={12th International Conference on Pattern Recognition Systems}, publisher={IEEE},
author={Kirsch, André and Günter, Andrei and König, Matthias}, year={2022} }'
chicago: Kirsch, André, Andrei Günter, and Matthias König. “Predicting Alignability
of Point Cloud Pairs for Point Cloud Registration Using Features.” In 12th
International Conference on Pattern Recognition Systems. IEEE, 2022. https://doi.org/10.1109/ICPRS54038.2022.9854071.
ieee: A. Kirsch, A. Günter, and M. König, “Predicting Alignability of Point Cloud
Pairs for Point Cloud Registration Using Features,” in 12th International Conference
on Pattern Recognition Systems, Saint-Étienne, 2022.
mla: Kirsch, André, et al. “Predicting Alignability of Point Cloud Pairs for Point
Cloud Registration Using Features.” 12th International Conference on Pattern
Recognition Systems, IEEE, 2022, doi:10.1109/ICPRS54038.2022.9854071.
short: 'A. Kirsch, A. Günter, M. König, in: 12th International Conference on Pattern
Recognition Systems, IEEE, 2022.'
conference:
end_date: 2022-06-10
location: Saint-Étienne
name: 12th International Conference on Pattern Recognition Systems
start_date: 2022-06-07
date_created: 2022-05-24T13:55:09Z
date_updated: 2023-06-16T11:32:43Z
doi: 10.1109/ICPRS54038.2022.9854071
keyword:
- alignability prediction
- point cloud registration
- overlap metric
- descriptors
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9854071
project:
- _id: A838A474-C7DA-11E9-B0AE-1F4CB252D58D
name: 'DORIOT: Dynamische Laufzeitumgebung für organisch (dis-)aggregierende IoT-Prozesse'
publication: 12th International Conference on Pattern Recognition Systems
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Predicting Alignability of Point Cloud Pairs for Point Cloud Registration Using
Features
type: conference
user_id: '216459'
year: '2022'
...
---
_id: '1548'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
citation:
alphadin: 'Viertel, Philipp ; König, Matthias ; Rexilius,
Jan: Pollen detection from honey sediments via Region-Based Convolutional
Neural Networks. In: Gesellschaft für Informatik
(Hrsg.): Referate der 42. GIL-Jahrestagung, 2022, S. 301–306'
ama: 'Viertel P, König M, Rexilius J. Pollen detection from honey sediments via
Region-Based Convolutional Neural Networks. In: Gesellschaft für Informatik, ed.
Referate Der 42. GIL-Jahrestagung. ; 2022:301-306.'
apa: Viertel, P., König, M., & Rexilius, J. (2022). Pollen detection from honey
sediments via Region-Based Convolutional Neural Networks. In Gesellschaft für
Informatik (Ed.), Referate der 42. GIL-Jahrestagung (pp. 301–306). Tänikon,
Ettenhausen, Schweiz.
bibtex: '@inproceedings{Viertel_König_Rexilius_2022, title={Pollen detection from
honey sediments via Region-Based Convolutional Neural Networks}, booktitle={Referate
der 42. GIL-Jahrestagung}, author={Viertel, Philipp and König, Matthias and Rexilius,
Jan}, editor={Gesellschaft für InformatikEditor}, year={2022}, pages={301–306}
}'
chicago: Viertel, Philipp, Matthias König, and Jan Rexilius. “Pollen Detection from
Honey Sediments via Region-Based Convolutional Neural Networks.” In Referate
Der 42. GIL-Jahrestagung, edited by Gesellschaft für Informatik, 301–6, 2022.
ieee: P. Viertel, M. König, and J. Rexilius, “Pollen detection from honey sediments
via Region-Based Convolutional Neural Networks,” in Referate der 42. GIL-Jahrestagung,
Tänikon, Ettenhausen, Schweiz, 2022, pp. 301–306.
mla: Viertel, Philipp, et al. “Pollen Detection from Honey Sediments via Region-Based
Convolutional Neural Networks.” Referate Der 42. GIL-Jahrestagung, edited
by Gesellschaft für Informatik, 2022, pp. 301–06.
short: 'P. Viertel, M. König, J. Rexilius, in: Gesellschaft für Informatik (Ed.),
Referate Der 42. GIL-Jahrestagung, 2022, pp. 301–306.'
conference:
end_date: 22.02.2022
location: Tänikon, Ettenhausen, Schweiz
name: Was bedeutet Künstliche Intelligenz für Agrar- und Ernährungswirtschaft?
start_date: 21.02.2022
corporate_editor:
- Gesellschaft für Informatik
date_created: 2021-12-06T09:13:54Z
date_updated: 2023-06-15T11:37:27Z
department:
- _id: '102'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.gi.de/bitstream/handle/20.500.12116/38415/GIL2022_Viertel_301-306.pdf?sequence=1&isAllowed=y
oa: '1'
page: 301-306
publication: Referate der 42. GIL-Jahrestagung
publication_identifier:
isbn:
- 978-3-88579-711-1
publication_status: published
status: public
title: Pollen detection from honey sediments via Region-Based Convolutional Neural
Networks
type: conference
user_id: '245590'
year: '2022'
...
---
_id: '1533'
abstract:
- lang: eng
text: 'In a large number of scientific areas, such as immunology, forensics, paleoecology,
and archeology, the study of pollen, i.e., palynology, plays an important role:
from tracking climate changes, studying allergies, to forensic investigations
or honey origin analysis. Since the mid-nineties of the last century, the idea
for an automated solution to the problem of pollen identification and classification
was formulated and since then, several attempts and proposals have been made and
presented, based on different technologies, in particular in the field of Computer
Vision. However, as of 2021 microscopic analyses are performed mainly manually
by highly trained specialists, although the capabilities of artificial intelligence,
especially Deep Neural Networks, are steadily increasing. In this work, we analyzed
various state-of-the-art research work concerning pollen detection and classification
and compared their methods and results. The problems, such as data accessibility,
different methods of Machine Learning, and the intended applicability of the proposed
solutions are explored. We also identified crucial issues that require further
work and research. Our work will provide a thorough view on the current state
of the art, its issues, and possibilities for the future.'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
orcid: 0000-0002-7274-4290
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
orcid: 0000-0002-4915-0750
citation:
alphadin: 'Viertel, Philipp ; König, Matthias: Pattern Recognition Methodologies
for Pollen Grain Image Classification: A Survey. In: Machine Vision and Applications
Bd. 33, Springer (2022)'
ama: 'Viertel P, König M. Pattern Recognition Methodologies for Pollen Grain Image
Classification: A Survey. Machine Vision and Applications. 2022;33. doi:10.1007/s00138-021-01271-w'
apa: 'Viertel, P., & König, M. (2022). Pattern Recognition Methodologies for
Pollen Grain Image Classification: A Survey. Machine Vision and Applications,
33. https://doi.org/10.1007/s00138-021-01271-w'
bibtex: '@article{Viertel_König_2022, title={Pattern Recognition Methodologies for
Pollen Grain Image Classification: A Survey}, volume={33}, DOI={10.1007/s00138-021-01271-w},
journal={Machine Vision and Applications}, publisher={Springer}, author={Viertel,
Philipp and König, Matthias}, year={2022} }'
chicago: 'Viertel, Philipp, and Matthias König. “Pattern Recognition Methodologies
for Pollen Grain Image Classification: A Survey.” Machine Vision and Applications
33 (2022). https://doi.org/10.1007/s00138-021-01271-w.'
ieee: 'P. Viertel and M. König, “Pattern Recognition Methodologies for Pollen Grain
Image Classification: A Survey,” Machine Vision and Applications, vol.
33, 2022.'
mla: 'Viertel, Philipp, and Matthias König. “Pattern Recognition Methodologies for
Pollen Grain Image Classification: A Survey.” Machine Vision and Applications,
vol. 33, Springer, 2022, doi:10.1007/s00138-021-01271-w.'
short: P. Viertel, M. König, Machine Vision and Applications 33 (2022).
date_created: 2021-11-10T12:18:04Z
date_updated: 2023-06-15T11:33:51Z
department:
- _id: '102'
doi: 10.1007/s00138-021-01271-w
intvolume: ' 33'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s00138-021-01271-w
oa: '1'
publication: Machine Vision and Applications
publication_status: published
publisher: Springer
status: public
title: 'Pattern Recognition Methodologies for Pollen Grain Image Classification: A
Survey'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: '245590'
volume: 33
year: '2022'
...
---
_id: '1288'
author:
- first_name: Andrei
full_name: Günter, Andrei
id: '225747'
last_name: Günter
orcid: 0000-0002-7836-9700
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7836-9700/work/95080426
- first_name: Christopher
full_name: Schwarzer, Christopher
last_name: Schwarzer
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
citation:
alphadin: 'Günter, Andrei ; Schwarzer, Christopher ; König,
Matthias: An Information Abstraction Layer for IoT Middleware. In: Gesellschaft für Informatik (Hrsg.): Workshop
on Tools and Concepts for Communication and Networked Systems, Lecture
Notes in Informatics. Bonn, 2021'
ama: 'Günter A, Schwarzer C, König M. An Information Abstraction Layer for IoT Middleware.
In: Gesellschaft für Informatik, ed. Workshop on Tools and Concepts for Communication
and Networked Systems. Lecture Notes in Informatics. Bonn; 2021. doi:10.18420/INF2020_114'
apa: Günter, A., Schwarzer, C., & König, M. (2021). An Information Abstraction
Layer for IoT Middleware. In Gesellschaft für Informatik (Ed.), Workshop on
Tools and Concepts for Communication and Networked Systems. Bonn. https://doi.org/10.18420/INF2020_114
bibtex: '@inproceedings{Günter_Schwarzer_König_2021, place={Bonn}, series={Lecture
Notes in Informatics}, title={An Information Abstraction Layer for IoT Middleware},
DOI={10.18420/INF2020_114},
booktitle={Workshop on Tools and Concepts for Communication and Networked Systems},
author={Günter, Andrei and Schwarzer, Christopher and König, Matthias}, editor={Gesellschaft
für InformatikEditor}, year={2021}, collection={Lecture Notes in Informatics}
}'
chicago: Günter, Andrei, Christopher Schwarzer, and Matthias König. “An Information
Abstraction Layer for IoT Middleware.” In Workshop on Tools and Concepts for
Communication and Networked Systems, edited by Gesellschaft für Informatik.
Lecture Notes in Informatics. Bonn, 2021. https://doi.org/10.18420/INF2020_114.
ieee: A. Günter, C. Schwarzer, and M. König, “An Information Abstraction Layer for
IoT Middleware,” in Workshop on Tools and Concepts for Communication and Networked
Systems, 2021.
mla: Günter, Andrei, et al. “An Information Abstraction Layer for IoT Middleware.”
Workshop on Tools and Concepts for Communication and Networked Systems,
edited by Gesellschaft für Informatik, 2021, doi:10.18420/INF2020_114.
short: 'A. Günter, C. Schwarzer, M. König, in: Gesellschaft für Informatik (Ed.),
Workshop on Tools and Concepts for Communication and Networked Systems, Bonn,
2021.'
conference:
name: Workshop on Tools and Concepts for Communication and Networked Systems
corporate_editor:
- Gesellschaft für Informatik
date_created: 2021-06-05T15:21:41Z
date_updated: 2022-07-07T18:40:49Z
department:
- _id: '102'
doi: 10.18420/INF2020_114
language:
- iso: eng
place: Bonn
project:
- _id: A838A474-C7DA-11E9-B0AE-1F4CB252D58D
name: 'DORIOT: Dynamische Laufzeitumgebung für organisch (dis-)aggregierende IoT-Prozesse'
publication: Workshop on Tools and Concepts for Communication and Networked Systems
series_title: Lecture Notes in Informatics
status: public
title: An Information Abstraction Layer for IoT Middleware
type: conference
user_id: '213498'
year: '2021'
...
---
_id: '1420'
author:
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
- first_name: Robin
full_name: Rasch, Robin
id: '221232'
last_name: Rasch
citation:
alphadin: 'König, Matthias ; Rasch, Robin: Digital Teaching an Embedded
Systems Course by Using Simulators. In: 2021 ACM/IEEE Workshop on Computer
Architecture Education (WCAE), 2021'
ama: 'König M, Rasch R. Digital Teaching an Embedded Systems Course by Using Simulators.
In: 2021 ACM/IEEE Workshop on Computer Architecture Education (WCAE). ;
2021. doi:10.1109/WCAE53984.2021.9707146'
apa: König, M., & Rasch, R. (2021). Digital Teaching an Embedded Systems Course
by Using Simulators. In 2021 ACM/IEEE Workshop on Computer Architecture Education
(WCAE). Raleigh, USA. https://doi.org/10.1109/WCAE53984.2021.9707146
bibtex: '@inproceedings{König_Rasch_2021, title={Digital Teaching an Embedded Systems
Course by Using Simulators}, DOI={10.1109/WCAE53984.2021.9707146},
booktitle={2021 ACM/IEEE Workshop on Computer Architecture Education (WCAE)},
author={König, Matthias and Rasch, Robin}, year={2021} }'
chicago: König, Matthias, and Robin Rasch. “Digital Teaching an Embedded Systems
Course by Using Simulators.” In 2021 ACM/IEEE Workshop on Computer Architecture
Education (WCAE), 2021. https://doi.org/10.1109/WCAE53984.2021.9707146.
ieee: M. König and R. Rasch, “Digital Teaching an Embedded Systems Course by Using
Simulators,” in 2021 ACM/IEEE Workshop on Computer Architecture Education (WCAE),
Raleigh, USA, 2021.
mla: König, Matthias, and Robin Rasch. “Digital Teaching an Embedded Systems Course
by Using Simulators.” 2021 ACM/IEEE Workshop on Computer Architecture Education
(WCAE), 2021, doi:10.1109/WCAE53984.2021.9707146.
short: 'M. König, R. Rasch, in: 2021 ACM/IEEE Workshop on Computer Architecture
Education (WCAE), 2021.'
conference:
end_date: 2021-06-17
location: Raleigh, USA
start_date: 2021-06-17
date_created: 2021-06-30T07:37:51Z
date_updated: 2022-05-24T14:42:18Z
department:
- _id: '102'
doi: 10.1109/WCAE53984.2021.9707146
language:
- iso: eng
publication: 2021 ACM/IEEE Workshop on Computer Architecture Education (WCAE)
quality_controlled: '1'
status: public
title: Digital Teaching an Embedded Systems Course by Using Simulators
type: conference
user_id: '213498'
year: '2021'
...
---
_id: '1532'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
citation:
alphadin: 'Viertel, Philipp ; König, Matthias ; Rexilius,
Jan: PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation.
In: 20th IEEE International Conference on Machine Learning and Applications
(ICMLA), 2021'
ama: 'Viertel P, König M, Rexilius J. PollenGAN: Synthetic Pollen Grain Image Generation
for Data Augmentation. In: 20th IEEE International Conference on Machine Learning
and Applications (ICMLA). ; 2021. doi:10.1109/ICMLA52953.2021.00015'
apa: 'Viertel, P., König, M., & Rexilius, J. (2021). PollenGAN: Synthetic Pollen
Grain Image Generation for Data Augmentation. In 20th IEEE International Conference
on Machine Learning and Applications (ICMLA). Pasadena, California, USA. https://doi.org/10.1109/ICMLA52953.2021.00015'
bibtex: '@inproceedings{Viertel_König_Rexilius_2021, title={PollenGAN: Synthetic
Pollen Grain Image Generation for Data Augmentation}, DOI={10.1109/ICMLA52953.2021.00015},
booktitle={20th IEEE International Conference on Machine Learning and Applications
(ICMLA)}, author={Viertel, Philipp and König, Matthias and Rexilius, Jan}, year={2021}
}'
chicago: 'Viertel, Philipp, Matthias König, and Jan Rexilius. “PollenGAN: Synthetic
Pollen Grain Image Generation for Data Augmentation.” In 20th IEEE International
Conference on Machine Learning and Applications (ICMLA), 2021. https://doi.org/10.1109/ICMLA52953.2021.00015.'
ieee: 'P. Viertel, M. König, and J. Rexilius, “PollenGAN: Synthetic Pollen Grain
Image Generation for Data Augmentation,” in 20th IEEE International Conference
on Machine Learning and Applications (ICMLA), Pasadena, California, USA, 2021.'
mla: 'Viertel, Philipp, et al. “PollenGAN: Synthetic Pollen Grain Image Generation
for Data Augmentation.” 20th IEEE International Conference on Machine Learning
and Applications (ICMLA), 2021, doi:10.1109/ICMLA52953.2021.00015.'
short: 'P. Viertel, M. König, J. Rexilius, in: 20th IEEE International Conference
on Machine Learning and Applications (ICMLA), 2021.'
conference:
end_date: 16.12.2021
location: Pasadena, California, USA
start_date: 13. 12.2021
date_created: 2021-11-10T12:14:32Z
date_updated: 2022-02-03T12:59:09Z
department:
- _id: '102'
doi: 10.1109/ICMLA52953.2021.00015
language:
- iso: eng
publication: 20th IEEE International Conference on Machine Learning and Applications
(ICMLA)
publication_status: published
status: public
title: 'PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation'
type: conference
user_id: '216274'
year: '2021'
...
---
_id: '1668'
author:
- first_name: Tim
full_name: Wächter, Tim
id: '211575'
last_name: Wächter
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
- first_name: Martin
full_name: Hoffmann, Martin
last_name: Hoffmann
citation:
alphadin: 'Wächter, Tim ; Rexilius,
Jan ; König, Matthias ; Hoffmann, Martin: Dynamic Evacuation System
for the Intelligent Building Based on Beacons and Handheld Devices. In: 2021
International Conference on Information and Communication Technologies for Disaster
Management (ICT-DM) : IEEE, 2021, S. 117–124'
ama: 'Wächter T, Rexilius J, König M, Hoffmann M. Dynamic Evacuation System for
the Intelligent Building Based on Beacons and Handheld Devices. In: 2021 International
Conference on Information and Communication Technologies for Disaster Management
(ICT-DM). IEEE; 2021:117-124. doi:10.1109/ICT-DM52643.2021.9664046'
apa: 'Wächter, T., Rexilius, J., König, M., & Hoffmann, M. (2021). Dynamic Evacuation
System for the Intelligent Building Based on Beacons and Handheld Devices. In
2021 International Conference on Information and Communication Technologies
for Disaster Management (ICT-DM) (pp. 117–124). Hangzhou, China: IEEE. https://doi.org/10.1109/ICT-DM52643.2021.9664046'
bibtex: '@inproceedings{Wächter_Rexilius_König_Hoffmann_2021, title={Dynamic Evacuation
System for the Intelligent Building Based on Beacons and Handheld Devices}, DOI={10.1109/ICT-DM52643.2021.9664046},
booktitle={2021 International Conference on Information and Communication Technologies
for Disaster Management (ICT-DM)}, publisher={IEEE}, author={Wächter, Tim and
Rexilius, Jan and König, Matthias and Hoffmann, Martin}, year={2021}, pages={117–124}
}'
chicago: Wächter, Tim, Jan Rexilius, Matthias König, and Martin Hoffmann. “Dynamic
Evacuation System for the Intelligent Building Based on Beacons and Handheld Devices.”
In 2021 International Conference on Information and Communication Technologies
for Disaster Management (ICT-DM), 117–24. IEEE, 2021. https://doi.org/10.1109/ICT-DM52643.2021.9664046.
ieee: T. Wächter, J. Rexilius, M. König, and M. Hoffmann, “Dynamic Evacuation System
for the Intelligent Building Based on Beacons and Handheld Devices,” in 2021
International Conference on Information and Communication Technologies for Disaster
Management (ICT-DM), Hangzhou, China, 2021, pp. 117–124.
mla: Wächter, Tim, et al. “Dynamic Evacuation System for the Intelligent Building
Based on Beacons and Handheld Devices.” 2021 International Conference on Information
and Communication Technologies for Disaster Management (ICT-DM), IEEE, 2021,
pp. 117–24, doi:10.1109/ICT-DM52643.2021.9664046.
short: 'T. Wächter, J. Rexilius, M. König, M. Hoffmann, in: 2021 International Conference
on Information and Communication Technologies for Disaster Management (ICT-DM),
IEEE, 2021, pp. 117–124.'
conference:
location: Hangzhou, China
name: 2021 International Conference on Information and Communication Technologies
for Disaster Management (ICT-DM)
date_created: 2022-01-11T08:48:11Z
date_updated: 2022-01-17T09:42:02Z
department:
- _id: '102'
doi: 10.1109/ICT-DM52643.2021.9664046
language:
- iso: eng
page: 117-124
publication: 2021 International Conference on Information and Communication Technologies
for Disaster Management (ICT-DM)
publication_identifier:
eisbn:
- 978-1-6654-3285-6
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Dynamic Evacuation System for the Intelligent Building Based on Beacons and
Handheld Devices
type: conference
user_id: '211575'
year: '2021'
...
---
_id: '1551'
author:
- first_name: Christopher
full_name: Schwarzer, Christopher
last_name: Schwarzer
- first_name: Andrei
full_name: Günter, Andrei
id: '225747'
last_name: Günter
orcid: 0000-0002-7836-9700
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7836-9700/work/104305858
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
citation:
alphadin: 'Schwarzer, Christopher
; Günter, Andrei ; König,
Matthias: IAL: Information Abstraction Layer to Include Multimedia in Building
Automation Systems. In: 2021 17th International Conference on Intelligent Environments
(IE) : IEEE, 2021, S. 1–8'
ama: 'Schwarzer C, Günter A, König M. IAL: Information Abstraction Layer to Include
Multimedia in Building Automation Systems. In: 2021 17th International Conference
on Intelligent Environments (IE). IEEE; 2021:1-8. doi:10.1109/IE51775.2021.9486461'
apa: 'Schwarzer, C., Günter, A., & König, M. (2021). IAL: Information Abstraction
Layer to Include Multimedia in Building Automation Systems. In 2021 17th International
Conference on Intelligent Environments (IE) (pp. 1–8). Dubai, United Arab
Emirates: IEEE. https://doi.org/10.1109/IE51775.2021.9486461'
bibtex: '@inproceedings{Schwarzer_Günter_König_2021, title={IAL: Information Abstraction
Layer to Include Multimedia in Building Automation Systems}, DOI={10.1109/IE51775.2021.9486461},
booktitle={2021 17th International Conference on Intelligent Environments (IE)},
publisher={IEEE}, author={Schwarzer, Christopher and Günter, Andrei and König,
Matthias}, year={2021}, pages={1–8} }'
chicago: 'Schwarzer, Christopher, Andrei Günter, and Matthias König. “IAL: Information
Abstraction Layer to Include Multimedia in Building Automation Systems.” In 2021
17th International Conference on Intelligent Environments (IE), 1–8. IEEE,
2021. https://doi.org/10.1109/IE51775.2021.9486461.'
ieee: 'C. Schwarzer, A. Günter, and M. König, “IAL: Information Abstraction Layer
to Include Multimedia in Building Automation Systems,” in 2021 17th International
Conference on Intelligent Environments (IE), Dubai, United Arab Emirates,
2021, pp. 1–8.'
mla: 'Schwarzer, Christopher, et al. “IAL: Information Abstraction Layer to Include
Multimedia in Building Automation Systems.” 2021 17th International Conference
on Intelligent Environments (IE), IEEE, 2021, pp. 1–8, doi:10.1109/IE51775.2021.9486461.'
short: 'C. Schwarzer, A. Günter, M. König, in: 2021 17th International Conference
on Intelligent Environments (IE), IEEE, 2021, pp. 1–8.'
conference:
location: Dubai, United Arab Emirates
name: 2021 17th International Conference on Intelligent Environments (IE)
date_created: 2021-12-06T11:13:17Z
date_updated: 2021-12-06T14:37:41Z
department:
- _id: '102'
doi: 10.1109/IE51775.2021.9486461
language:
- iso: eng
page: 1-8
publication: 2021 17th International Conference on Intelligent Environments (IE)
publication_identifier:
eisbn:
- 978-1-6654-0346-7
publication_status: published
publisher: IEEE
status: public
title: 'IAL: Information Abstraction Layer to Include Multimedia in Building Automation
Systems'
type: conference
user_id: '245590'
year: '2021'
...
---
_id: '1531'
author:
- first_name: Philipp
full_name: Viertel, Philipp
id: '216274'
last_name: Viertel
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
citation:
alphadin: 'Viertel, Philipp ; König, Matthias: Deep Learning in palynology
– A use case for automated visual classification of pollen grains from honey samples.
In: Gesellschaft für Informatik
(Hrsg.): Referate der 41. GIL-Jahrestagung, 2021, S. 331–336'
ama: 'Viertel P, König M. Deep Learning in palynology – A use case for automated
visual classification of pollen grains from honey samples. In: Gesellschaft für
Informatik, ed. Referate Der 41. GIL-Jahrestagung. ; 2021:331-336.'
apa: Viertel, P., & König, M. (2021). Deep Learning in palynology – A use case
for automated visual classification of pollen grains from honey samples. In Gesellschaft
für Informatik (Ed.), Referate der 41. GIL-Jahrestagung (pp. 331–336).
Potsdam.
bibtex: '@inproceedings{Viertel_König_2021, title={Deep Learning in palynology –
A use case for automated visual classification of pollen grains from honey samples},
booktitle={Referate der 41. GIL-Jahrestagung}, author={Viertel, Philipp and König,
Matthias}, editor={Gesellschaft für InformatikEditor}, year={2021}, pages={331–336}
}'
chicago: Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A
Use Case for Automated Visual Classification of Pollen Grains from Honey Samples.”
In Referate Der 41. GIL-Jahrestagung, edited by Gesellschaft für Informatik,
331–36, 2021.
ieee: P. Viertel and M. König, “Deep Learning in palynology – A use case for automated
visual classification of pollen grains from honey samples,” in Referate der
41. GIL-Jahrestagung, Potsdam, 2021, pp. 331–336.
mla: Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A Use
Case for Automated Visual Classification of Pollen Grains from Honey Samples.”
Referate Der 41. GIL-Jahrestagung, edited by Gesellschaft für Informatik,
2021, pp. 331–36.
short: 'P. Viertel, M. König, in: Gesellschaft für Informatik (Ed.), Referate Der
41. GIL-Jahrestagung, 2021, pp. 331–336.'
conference:
end_date: 09.03.2021
location: Potsdam
name: Informations- und Kommunikationstechnologien in kritischen Zeiten
start_date: 08.03.2021
corporate_editor:
- Gesellschaft für Informatik
date_created: 2021-11-10T12:09:04Z
date_updated: 2021-11-10T12:25:53Z
department:
- _id: '102'
language:
- iso: eng
page: 331-336
publication: Referate der 41. GIL-Jahrestagung
publication_identifier:
isbn:
- 978-3-88579-703-6
publication_status: published
status: public
title: Deep Learning in palynology – A use case for automated visual classification
of pollen grains from honey samples
type: conference
user_id: '216274'
year: '2021'
...
---
_id: '1290'
citation:
alphadin: 'Güneş, M. ; Zug,
S. ; König, M. ;
Gesellschaft für Informatik (Hrsg.): Tools and Concepts for Communication
and Networked Systems – Or: How to build resilient IoT Systems?, Lecture
Notes in Informatics. Bd. 307. Bonn, 2021'
ama: 'Güneş M, Zug S, König M, Gesellschaft für Informatik, eds. Tools and Concepts
for Communication and Networked Systems – Or: How to Build Resilient IoT Systems?
Vol 307. Bonn; 2021. doi:10.18420/INF2020_109'
apa: 'Güneş, M., Zug, S., König, M., & Gesellschaft für Informatik (Eds.).
(2021). Tools and Concepts for Communication and Networked Systems – Or: How
to build resilient IoT Systems? (Vol. 307). Presented at the Workshop on Tools
and Concepts for Communication and Networked Systems, Bonn. https://doi.org/10.18420/INF2020_109'
bibtex: '@book{Güneş_Zug_König_ Gesellschaft für Informatik_2021, place={Bonn},
series={Lecture Notes in Informatics}, title={Tools and Concepts for Communication
and Networked Systems – Or: How to build resilient IoT Systems?}, volume={307},
DOI={10.18420/INF2020_109},
year={2021}, collection={Lecture Notes in Informatics} }'
chicago: 'Güneş, Mesut, Sebastian Zug, Matthias König, and Gesellschaft für Informatik,
eds. Tools and Concepts for Communication and Networked Systems – Or: How to
Build Resilient IoT Systems? Vol. 307. Lecture Notes in Informatics. Bonn,
2021. https://doi.org/10.18420/INF2020_109.'
ieee: 'M. Güneş, S. Zug, M. König, and Gesellschaft für Informatik, Eds., Tools
and Concepts for Communication and Networked Systems – Or: How to build resilient
IoT Systems?, vol. 307. Bonn, 2021.'
mla: 'Güneş, Mesut, et al., editors. Tools and Concepts for Communication and
Networked Systems – Or: How to Build Resilient IoT Systems? Vol. 307, 2021,
doi:10.18420/INF2020_109.'
short: 'M. Güneş, S. Zug, M. König, Gesellschaft für Informatik, eds., Tools and
Concepts for Communication and Networked Systems – Or: How to Build Resilient
IoT Systems?, Bonn, 2021.'
conference:
location: Karlsruhe
name: Workshop on Tools and Concepts for Communication and Networked Systems
corporate_editor:
- ' Gesellschaft für Informatik'
date_created: 2021-06-05T15:26:20Z
date_updated: 2021-06-21T14:03:29Z
department:
- _id: '102'
doi: 10.18420/INF2020_109
editor:
- first_name: Mesut
full_name: Güneş, Mesut
last_name: Güneş
- first_name: Sebastian
full_name: Zug, Sebastian
last_name: Zug
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
intvolume: ' 307'
language:
- iso: eng
place: Bonn
project:
- _id: A838A474-C7DA-11E9-B0AE-1F4CB252D58D
name: 'DORIOT: Dynamische Laufzeitumgebung für organisch (dis-)aggregierende IoT-Prozesse'
publication_identifier:
isbn:
- 978-3-88579-701-2
issn:
- 1617-5468
series_title: Lecture Notes in Informatics
status: public
title: 'Tools and Concepts for Communication and Networked Systems – Or: How to build
resilient IoT Systems?'
type: book_editor
user_id: '213498'
volume: 307
year: '2021'
...
---
_id: '1289'
author:
- first_name: Philipp
full_name: Viertel, Philipp
last_name: Viertel
- first_name: Matthias
full_name: König, Matthias
id: '213498'
last_name: König
citation:
alphadin: 'Viertel, Philipp ; König, Matthias: Deep Learning in palynology.
In: Gesellschaft für Informatik
(Hrsg.): GIL-Jahrestagung - Fokus: Informations- und Kommunikationstechnologien
in kritischen Zeiten, Lecture Notes in Informatics. Bonn, 2021'
ama: 'Viertel P, König M. Deep Learning in palynology. In: Gesellschaft für Informatik,
ed. GIL-Jahrestagung - Fokus: Informations- Und Kommunikationstechnologien
in Kritischen Zeiten. Lecture Notes in Informatics. Bonn; 2021.'
apa: 'Viertel, P., & König, M. (2021). Deep Learning in palynology. In Gesellschaft
für Informatik (Ed.), GIL-Jahrestagung - Fokus: Informations- und Kommunikationstechnologien
in kritischen Zeiten. Bonn.'
bibtex: '@inproceedings{Viertel_König_2021, place={Bonn}, series={Lecture Notes
in Informatics}, title={Deep Learning in palynology}, booktitle={GIL-Jahrestagung
- Fokus: Informations- und Kommunikationstechnologien in kritischen Zeiten}, author={Viertel,
Philipp and König, Matthias}, editor={Gesellschaft für InformatikEditor}, year={2021},
collection={Lecture Notes in Informatics} }'
chicago: 'Viertel, Philipp, and Matthias König. “Deep Learning in Palynology.” In
GIL-Jahrestagung - Fokus: Informations- Und Kommunikationstechnologien in Kritischen
Zeiten, edited by Gesellschaft für Informatik. Lecture Notes in Informatics.
Bonn, 2021.'
ieee: 'P. Viertel and M. König, “Deep Learning in palynology,” in GIL-Jahrestagung
- Fokus: Informations- und Kommunikationstechnologien in kritischen Zeiten,
Potsdam, 2021.'
mla: 'Viertel, Philipp, and Matthias König. “Deep Learning in Palynology.” GIL-Jahrestagung
- Fokus: Informations- Und Kommunikationstechnologien in Kritischen Zeiten,
edited by Gesellschaft für Informatik, 2021.'
short: 'P. Viertel, M. König, in: Gesellschaft für Informatik (Ed.), GIL-Jahrestagung
- Fokus: Informations- Und Kommunikationstechnologien in Kritischen Zeiten, Bonn,
2021.'
conference:
location: Potsdam
corporate_editor:
- Gesellschaft für Informatik
date_created: 2021-06-05T15:24:39Z
date_updated: 2021-06-05T15:24:43Z
department:
- _id: '102'
language:
- iso: eng
place: Bonn
publication: 'GIL-Jahrestagung - Fokus: Informations- und Kommunikationstechnologien
in kritischen Zeiten'
series_title: Lecture Notes in Informatics
status: public
title: Deep Learning in palynology
type: conference
user_id: '213498'
year: '2021'
...