DocumentCode :
1734891
Title :
Any type of obstacle detection in complex environments based on monocular vision
Author :
Liu Zeyu ; Yu Chunxuan ; Zheng Banggui
Author_Institution :
Beijing Univ. of Technol., Beijing, China
fYear :
2013
Firstpage :
7692
Lastpage :
7697
Abstract :
Obstacle detection has been one of the core issues of research in the field of intelligent vehicle visual navigation system, auto auxiliary driving,etc. This paper proposes a new detection method based on monocular vision, which is used to detect any type of obstacle in the rear of the vehicle when the vehicle in low-speed reversing. First, we use the Forward-Backward error(FB error) on the original image to select the easy tracking and reliable feature points. Second, using these feature points,the feature points belonging to ground are selected in top-view images converted from original images. Based on road assumption of plane, vehicle motion parameters can be estimated and we compensate for the rotation and translation of the vehicle using the estimated parameters. Finally, using the different movement between the obstacle and the road, we exclude noise points and extract obstacle region in the difference image based on motion compensation. The experimental results show that the method proposed in this paper can detect any type of obstacle.
Keywords :
computer vision; motion compensation; object detection; complex environments; difference image; forward-backward error; intelligent vehicle visual navigation system; monocular vision; motion compensation; noise points; obstacle detection; top-view images; vehicle motion parameters; Computer vision; Feature extraction; Image motion analysis; Reliability; Tracking; Trajectory; Vehicles; Any type of obstacle detection; Forward-Backward error; Image differencing; Monocular vision; Motion parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640794
Link To Document :
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