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3D tracking of water hazards with polarized stereo cameras

Nguyen, Chuong; Milford, Michael J; Mahony, Robert


Current self-driving car systems operate well in sunny weather but struggle in adverse conditions. One of the most commonly encountered adverse conditions involves water on the road caused by rain, sleet, melting snow or flooding. While some advances have been made in using conventional RGB camera and LIDAR technology for detecting water hazards, other sources of information such as polarization offer a promising and potentially superior approach to this problem in terms of performance and...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Conference paper
Source: Proceedings - IEEE International Conference on Robotics and Automation
DOI: 10.1109/ICRA.2017.7989616


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