of obstacle detection and passable area extraction are fused to detect the passing ability of the passable area. Multi-road real-time vehicle experiments show that the proposed algorithm can accurately detect obstacles and passable road areas, with an average detection accuracy of 94.13% and an average processing time of 69 ms, meeting the real-time requirements of intelligent vehicles.