6 Publikationen
2022 | Konferenzbeitrag | FH-PUB-ID: 1969
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.
HSBI-PUB
2022 | Konferenzbeitrag | FH-PUB-ID: 1966
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
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2021 | Konferenzbeitrag | FH-PUB-ID: 1288
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
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1551
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
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1283
Günter, A., Boker, S., König, M., & Hoffmann, M. (2020). Privacy-preserving People Detection Enabled by Solid State LiDAR. In 2020 16th International Conference on Intelligent Environments (IE) (pp. 1–4). Madrid, Spain: IEEE. https://doi.org/10.1109/IE49459.2020.9154970
HSBI-PUB
| DOI
2015 | Konferenzbeitrag | FH-PUB-ID: 1301
Flatt, H., Koch, N., Rocker, C., Günter, A., & Jasperneite, J. (2015). A context-aware assistance system for maintenance applications in smart factories based on augmented reality and indoor localization. In 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) (pp. 1–4). Luxembourg, Luxembourg: IEEE. https://doi.org/10.1109/ETFA.2015.7301586
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6 Publikationen
2022 | Konferenzbeitrag | FH-PUB-ID: 1969
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.
HSBI-PUB
2022 | Konferenzbeitrag | FH-PUB-ID: 1966
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
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 1288
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
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 1551
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
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1283
Günter, A., Boker, S., König, M., & Hoffmann, M. (2020). Privacy-preserving People Detection Enabled by Solid State LiDAR. In 2020 16th International Conference on Intelligent Environments (IE) (pp. 1–4). Madrid, Spain: IEEE. https://doi.org/10.1109/IE49459.2020.9154970
HSBI-PUB
| DOI
2015 | Konferenzbeitrag | FH-PUB-ID: 1301
Flatt, H., Koch, N., Rocker, C., Günter, A., & Jasperneite, J. (2015). A context-aware assistance system for maintenance applications in smart factories based on augmented reality and indoor localization. In 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) (pp. 1–4). Luxembourg, Luxembourg: IEEE. https://doi.org/10.1109/ETFA.2015.7301586
HSBI-PUB
| DOI