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Titel:

Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Nobis, Felix; Brunhuber, Fabian; Janssen, Simon; Betz, Johannes; Lienkamp, Markus
Abstract:
3D object detection based on monocular camera data is a key enabler for autonomous driving. The task however, is ill-posed due to lack of depth information in 2D images. Recent deep learning methods show promising results to recover depth information from single images by learning priors about the environment. Several competing strategies tackle this problem. In addition to the network design, the major difference of these competing approaches lies in using a supervised or self-supervised optimi...     »
Stichworte:
FTM Fahrdynamik
Kongress- / Buchtitel:
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Verlag / Institution:
IEEE
Publikationsdatum:
20.09.2020
Jahr:
2020
Nachgewiesen in:
Scopus
Print-ISBN:
9781728141497
Volltext / DOI:
doi:10.1109/itsc45102.2020.9294625
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik
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