Optical 3D Object Recognition for Automated Driving
- In this contribution, we propose an system setup for the detection andclassification of objects in autonomous driving applications. The recognition algo-rithm is based upon deep neural networks, operating in the 2D image domain. Theresults are combined with data of a stereo camera system to finally incorporatethe 3D object information into our mapping framework. The detection systemisIn this contribution, we propose an system setup for the detection andclassification of objects in autonomous driving applications. The recognition algo-rithm is based upon deep neural networks, operating in the 2D image domain. Theresults are combined with data of a stereo camera system to finally incorporatethe 3D object information into our mapping framework. The detection systemis locally running upon the onboard CPU of the vehicle. Several network archi-tectures are implemented and evaluated with respect to accuracy and run-timedemands for the given camera and hardware setup.…
| Document Type: | Conference Proceeding |
|---|---|
| Conference Type: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/4369 | Bibliografische Angaben |
| Title (English): | Optical 3D Object Recognition for Automated Driving |
| Conference: | The Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020), Karlsruhe, 13th May 2020 |
| Author: | Raphael Schwarz, Marin B. Marinov, Stefan HenselStaff MemberORCiDGND |
| Year of Publication: | 2020 |
| Creating Corporation: | Hochschule Offenburg |
| Page Number: | 9 |
| First Page: | 127 |
| Last Page: | 135 |
| Parent Title (English): | Artificial Intelligence : Research Impact on Key Industries. Proceedings of the Upper-Rhine Artificial Intelligence Symposium |
| Editor: | Andreas Christ, Franz Quint |
| ISBN: | 978-3-943301-29-8 (eBook) |
| ISBN: | 978-3-943301-28-1 (Print) |
| Language: | English | Inhaltliche Informationen |
| Institutes: | Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) |
| Collections of the Offenburg University: | Bibliografie |
| Projekte / Schluckspecht | Formale Angaben |
| Open Access: | Open Access |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |
| ArXiv Id: | http://arxiv.org/abs/2010.16241 |