Title :
An Obstacle Extraction Method Using Virtual Disparity Image
Author :
Suganuma, N. ; Fujiwara, N.
Author_Institution :
Kanazawa Univ., Kanazawa
Abstract :
The driving support system is one of most important research field in intelligent transport system (ITS). In this paper, we address an obstacle extraction method for driving support system. The stereovision system is one of most suit sensor to recognize details of environment. On the other hand, a disparity image obtained by stereovision system has quite a lot of information. Therefore an efficient algorithm to analyze obtained disparity image is strongly demanded. If the road surface is extracted, obstacles can be easily extracted by evaluating whether one object touch on a road or not. In this paper, we propose a novel method to estimate three-dimensional road surface position by using virtual disparity image. Moreover, an obstacle extraction method is expressed.
Keywords :
automated highways; computer vision; driver information systems; estimation theory; feature extraction; image sensors; road traffic; stereo image processing; virtual reality; 3D road surface position estimation; ITS; driving support system; intelligent transport system; obstacle extraction method; road surface extraction; stereovision system; virtual disparity image; Aging; Cameras; Data mining; Image analysis; Intelligent sensors; Intelligent systems; Mirrors; Roads; Sensor systems; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290157