A New Edge Matching Procedure For Obstacle Detection By Linear Stereo Vision

This paper addresses the problem of obstacle detection in front of vehicles. A specific stereo vision set-up, using two linear cameras installed on the top of a car, has been developed to capture sequences of pairs of linear images. The analysis of the left and the right images acquired simultaneously calls for a new edge matching procedure. The system has been evaluated in real traffic conditions.

[1]  Takeo Kanade,et al.  Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  J.-G. Postaire,et al.  Disparity analysis for real time obstacle detection by linear stereovision , 1992, Proceedings of the Intelligent Vehicles `92 Symposium.

[3]  Rachid Deriche.  Fast Algorithms for Low-Level Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Ramakant Nevatia,et al.  Stereo Error Detection, Correction, and Evaluation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..