Robust estimation of less featured road surface for stereo-based vehicle detection

The conventional video vehicle detectors have some problems such as difficulty of parameter adjustment at initial settings that influences the detection performance, in addition to the performance degradation in adverse conditions. To solve these problems, stereo-based video vehicle detectors have been proposed. We propose a novel method to estimate relations automatically between a stereo camera and a road surface utilizing vehicles moving on the road.