Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection

To assure that an autonomous car is driving safely on public roads, its object detection module should not only work correctly, but show its prediction confidence as well. Previous object detectors driven by deep learning do not explicitly model uncertainties in the neural network. We tackle with th...

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Veröffentlicht in:	Proceedings (IEEE Conference on Intelligent Transportation Systems) S. 3266 - 3273
Hauptverfasser:	Feng, Di, Rosenbaum, Lars, Dietmayer, Klaus
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2018
Schlagworte:	Detectors Laser radar Neural networks Object detection Proposals Three-dimensional displays Uncertainty
ISBN:	9781728103211, 1728103215
ISSN:	2153-0017
Online-Zugang:	Volltext
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