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A platform for research: civil engineering, architecture and urbanism
A monocular-vision-based driver assistance system for collision avoidance
In this paper, we describe the algorithms that how to track the feature points and how to establish the math model of lanes. An algorithm based on extend Kalman filter for dynamic target tracking is presented in this paper. Analyze the usual calculation method of distance by multi-eye, and present a real-time and efficient calculation method that makes use of computer vision theory to realize the measurement of the distance of an obstacle in the high way by single-eye. As the experiment show, the system has a good real-time property, high accuracy so as to measure up to the practical requirement This thesis studies the driving-habits discovery model of steering vehicle for a vehicle safety expert system.
A monocular-vision-based driver assistance system for collision avoidance
In this paper, we describe the algorithms that how to track the feature points and how to establish the math model of lanes. An algorithm based on extend Kalman filter for dynamic target tracking is presented in this paper. Analyze the usual calculation method of distance by multi-eye, and present a real-time and efficient calculation method that makes use of computer vision theory to realize the measurement of the distance of an obstacle in the high way by single-eye. As the experiment show, the system has a good real-time property, high accuracy so as to measure up to the practical requirement This thesis studies the driving-habits discovery model of steering vehicle for a vehicle safety expert system.
A monocular-vision-based driver assistance system for collision avoidance
Liao Chuanjin, (author) / Qin Xiaohu, (author) / Huang Xiyue, (author) / Chai Yi, (author) / Zhou Xin, (author)
2003-01-01
1670080 byte
Conference paper
Electronic Resource
English
A Monocular-Vision-Based Driver Assistance System for Collision Avoidance
| British Library Conference Proceedings | 2003