Rear obstacle detection system based on depth from kinect

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2012, Pages 98-101

  Choi, Jinwook ^a   Kim, Deukhyeon ^a   Yoo, Hunjae ^a   Sohn, Kwanghoon ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGES; DEPTH INFORMATION; DEPTH MAP; EDGE DETECTION ALGORITHMS; FALSE DETECTIONS; OBSTACLE DETECTION; OBSTACLE DETECTION SYSTEM; VIEW-BASED;

ALGORITHMS; EDGE DETECTION; INTELLIGENT SYSTEMS; SIGNAL DETECTION;

OBSTACLE DETECTORS;

EID: 84871225045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2012.6338794     Document Type: Conference Paper

References (6)

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2. Guanglin Ma, Manoj Dwivedi, Ran Li, Chong Sun, and Anton Kummert, "A real-time rear view camera based obstacle detection," Intelligent Transportation Systems, 2009. ITSC '09. 12th International IEEE Conference on, pp. 1-6, Oct. 2009.
3. Zhang Yankun, Hong Chuyang, and Norman Weyrich, "A Single Camera Based Rear Obstacle Detection System," 2011 IEEE Intelligent Vehicles Symposium, pp. 485-490, Jun. 2011.
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5. Alberto Broggi, Paolo Medici, and Pier Paolo Porta, "StereoBox: A Robust and Efficient Solution for Automotive Short-Range Obstacle Detection," EURASIP Journal on Embedded Systems, 2007.
6. [Online] Microsoft Kinect for Windows: http://www.microsoft.com/en-us/ kinectforwindows.