TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Schwarz, Raphael
A1  - Marinov, Marin B.
A1  - Hensel, Stefan
ED  - Christ, Andreas
ED  - Quint, Franz
T1  - Optical 3D Object Recognition for Automated Driving
T2  - Artificial Intelligence : Research Impact on Key Industries. Proceedings of the Upper-Rhine Artificial Intelligence Symposium
N2  - 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  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.
Y1  - 2020
SN  - 978-3-943301-29-8 (eBook)
SB  - 978-3-943301-29-8 (eBook)
SN  - 978-3-943301-28-1 (Print)
SB  - 978-3-943301-28-1 (Print)
AX  - 2010.16241
SP  - 127
EP  - 135
S1  - 9
ER  -