Presents a genetic approach for obstacle detection in front of a moving vehicle using linear stereo vision. The key problem is the so-called "correspondence problem" which consists of identifying features in two stereo images that are generated by the same physical feature in the three-dimensional space. The linear stereo matching problem is turned into an optimization task where an objective function, representing the constraints on the solution, is to be minimized. The optimization process is then performed by means of a genetic algorithm. Experimental results are presented to demonstrate the effectiveness of the genetic approach for 3D-reconstruction in real traffic conditions.
Genetic approach for obstacle detection using linear stereo vision
01.01.2000
574681 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Genetic Approach for Obstacle Detection using Linear Stereo Vision
British Library Conference Proceedings | 2000
|Obstacle detection in front of automatic trains by linear stereo vision
British Library Conference Proceedings | 1998
|Obstacle detection in front of automatic trains by linear stereo vision
Tema Archiv | 1998
|