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Document type:
Konferenzbeitrag 
Author(s):
Christoph Schöller, Maximilian Schnettler, Annkathrin Krämmer, Gereon Hinz, Maida Bakovic, Müge Güzet and Alois Knoll 
Title:
Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems 
Abstract:
Most intelligent transportation systems use a combination of radar sensors and cameras for robust vehicle perception. The calibration of these heterogeneous sensor types in an automatic fashion during system operation is challenging due to differing physical measurement principles and the high sparsity of traffic radars. We propose - to the best of our knowledge - the first data-driven method for automatic rotational radar-camera calibration without dedicated calibration targets. Our approach is...    »
 
Keywords:
Calibration, Sensors, Radar, Camera, Deep Learning, Neural Networks, Machine Learning, Intelligent Transportation Systems, Autonomous Driving 
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme 
Book / Congress title:
Intelligent Transportation Systems Conference (ITSC) 
Year:
2019