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Road obstacle detection using disparity map and edge information

Title
Road obstacle detection using disparity map and edge information
Author(s)
Lee, C.-H.Lim, Y.-C.Kim, J.
Issued Date
2012
Citation
IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS Multi Conference on Computer Science and Information Systems 2012, MCCSIS 2012, pp.191 - 194
Type
Conference Paper
ISBN
9789728939748
Abstract
In this paper, we propose a road obstacle detection method using a disparity map and edge information. Though we use a dense disparity map to improée obstacle detection performance, it is not easy to detect road obstacles accurately because of inaccurate disparity map. Furthermore, it is more difficult to detect long distance obstacles. Thus, we use another good segmentation cue, namely edge information. And we also propose a height limited column detection method to detect only certain road obstacles. Our method consists of three stages, namely feature extraction, obstacle detection using the height limited column detection and obstacle segmentation using a disparity map and edge information. To éerify our method, we conduct experiments using real traffic images captured by our stereo éision system installed in a real éehicle. © 2012 IADIS.
URI
http://hdl.handle.net/20.500.11750/3892
Publisher
International Association for Development of the Information Society
Related Researcher
  • 이충희 Lee, Chung-Hee
  • Research Interests AI; 인공지능; Machine Learning; 머신 러닝; Image classification; 영상인식; Obstacle detetcion; 객체 검출; Image processsing; 영상처리; Image segmentation; 영상 세그멘테이션
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Appears in Collections:
Division of Automotive Technology 2. Conference Papers
Division of AI, Big data and Block chain 2. Conference Papers

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