This paper presents a precise correlation-based stereo vision approach that allows real-time interpretation of traffic scenes and autonomous Stop&Go on a standard PC. The high speed is achieved by means of a multiresolution analysis. It delivers the stereo disparities with sub-pixel accuracy and allows precise distance estimates. Traffic applications using this method are described.
Real-time stereo vision for urban traffic scene understanding
2000-01-01
698035 byte
Conference paper
Electronic Resource
English
Real-Time Stereo Vision for Urban Traffic Scene Understanding
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