FAST OBSTACLE DETECTION FOR URBAN TRAFFIC SITUATIONS
This paper describes how within the DaimlerChrysler Urban Traffic Assistance (UTA) project, stereo vision and motion analysis are used in vision based driver assistance systems. The project involves a flow/depth constraint which leads to a robust and powerful detection scheme. A special algorithm is also used to achieve maximum recognition reliability.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Publication Date: September 2002
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Corporate Authors:
National Institute of Advanced Science and Technology (Japan)
,DaimlerChrysler Corporation
Auburn Hills, MI United States 48326-2766Massachusetts Institute of Technology
Artificial Intelligence Laboratory
Cambridge, MA United States 02139Honda Gijutsu Kenkyujo
,Universita di Parma Dipartimento di ingegneria dell informazione
,Toyota Chuo Kenkyujo
,Nissan Jidosha Kabushiki Kaisha
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Authors:
- Franke, U
- Heinrich, S
- Publication Date: 2002
Language
- English
Media Info
- Pagination: p. 173-181
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 3
- Issue Number: 3
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Computer vision; Crash avoidance systems; In vehicle sensors; Information display systems; Pedestrian detectors
Filing Info
- Accession Number: 00963524
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: Oct 2 2003 12:00AM