Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving

26 Sep 2019Di FengLars RosenbaumClaudius GlaeserFabian TimmKlaus Dietmayer

Reliable uncertainty estimation is crucial for perception systems in safe autonomous driving. Recently, many methods have been proposed to model uncertainties in deep learning based object detectors... (read more)

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