Detection of lane and objects is one of the most active areas of research in computer and robotic vision technology for its application in a self-driving car. The autonomous or advanced driver assistance system of a car has to detect the lane and objects from video sequences to make appropriate decisions while moving on the road. Conventionally, two camera-based stereo vision systems may be used to identify the lane and obstacles from video sequences. In this paper, we present a novel technique of lane and obstacle detection by using video/image sequences captured by a stereo vision system based on a single low cost, low-resolution camera. The proposed system utilizes a technique for generating a disparity map in one camera stereo imaging system, which is effectively used to identify the lane and obstacles or other vehicles from the captured real-time video sequences.
Lane and Obstacle Detection System Based on Single Camera-Based Stereo Vision System
Algorithms for Intelligent Systems
2021-04-25
8 pages
Article/Chapter (Book)
Electronic Resource
English
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