Subtraction-Based General Forward Obstacle Detection from In-Vehicle Camera Images using Extended Census Transform
Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase · IEEJ Transactions on Electronics Information and Systems · 2016
This paper proposes a method for detecting general obstacles on a road by subtracting a present in-vehicle camera image sequence from its corresponding past image sequences using an illumination insensitive feature. We conducted experiments using several image sequences captured under various illumination conditions, and confirmed the effectiveness of the proposed method.