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7 Publikationen

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[7]
2022 | Datenpublikation | FH-PUB-ID: 5270
Kirsch, André, et al. Predicting Alignability of Point Cloud Pairs for Point Cloud Registration Using Features. Hochschule Bielefeld, 2022.
HSBI-PUB | Dateien verfügbar
 
[6]
2022 | Konferenzbeitrag | FH-PUB-ID: 1966
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.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 1969
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.
HSBI-PUB
 
[4]
2021 | Konferenzbeitrag | FH-PUB-ID: 1288 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[3]
2021 | Konferenzbeitrag | FH-PUB-ID: 1551
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.
HSBI-PUB | DOI
 
[2]
2020 | Konferenzbeitrag | FH-PUB-ID: 1283
Günter, Andrei, et al. “Privacy-Preserving People Detection Enabled by Solid State LiDAR.” 2020 16th International Conference on Intelligent Environments (IE), edited by Institute of Electrical and Electronics Engineers (IEEE), IEEE, 2020, pp. 1–4, doi:10.1109/IE49459.2020.9154970.
HSBI-PUB | DOI
 
[1]
2015 | Konferenzbeitrag | FH-PUB-ID: 1301 | OA
Flatt, Holger, et al. “A Context-Aware Assistance System for Maintenance Applications in Smart Factories Based on Augmented Reality and Indoor Localization.” 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), IEEE, 2015, pp. 1–4, doi:10.1109/ETFA.2015.7301586.
HSBI-PUB | DOI | Download (ext.)
 

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7 Publikationen

Alle markieren

[7]
2022 | Datenpublikation | FH-PUB-ID: 5270
Kirsch, André, et al. Predicting Alignability of Point Cloud Pairs for Point Cloud Registration Using Features. Hochschule Bielefeld, 2022.
HSBI-PUB | Dateien verfügbar
 
[6]
2022 | Konferenzbeitrag | FH-PUB-ID: 1966
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.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 1969
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.
HSBI-PUB
 
[4]
2021 | Konferenzbeitrag | FH-PUB-ID: 1288 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[3]
2021 | Konferenzbeitrag | FH-PUB-ID: 1551
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.
HSBI-PUB | DOI
 
[2]
2020 | Konferenzbeitrag | FH-PUB-ID: 1283
Günter, Andrei, et al. “Privacy-Preserving People Detection Enabled by Solid State LiDAR.” 2020 16th International Conference on Intelligent Environments (IE), edited by Institute of Electrical and Electronics Engineers (IEEE), IEEE, 2020, pp. 1–4, doi:10.1109/IE49459.2020.9154970.
HSBI-PUB | DOI
 
[1]
2015 | Konferenzbeitrag | FH-PUB-ID: 1301 | OA
Flatt, Holger, et al. “A Context-Aware Assistance System for Maintenance Applications in Smart Factories Based on Augmented Reality and Indoor Localization.” 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), IEEE, 2015, pp. 1–4, doi:10.1109/ETFA.2015.7301586.
HSBI-PUB | DOI | Download (ext.)
 

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Zitationsstil: MLA

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