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Abstract: The early recognition of potentially harmful traffic situations is an important goal of vision based driver assistance systems. Pedestrians, in particular children, are highly endangered in inner city traffic. Within the DaimlerChrysler UTA (Urban Traffic Assistance) project, we are using stereo vision and motion analysis in order to manage those situations. The flow/depth constraint combines both methods in an elegant way and leads to a robust and powerful detection scheme. (Update)
Cited by: More
Multi-cue Pedestrian Detection and . . . - Gavrila, Al. (2006) (Correct)
Multi-Resolution Vehicle Detection using - Artificial Vision Alberto (2004) (Correct)
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BibTeX entry: (Update)
S. Heinrich, "Fast Obstacle Detection using Flow/Depth Constraint," in Procs. IEEE Intelligent Vehicles Symposium 2002. http://citeseer.ist.psu.edu/heinrich00fast.html More
@misc{ heinrich02fast,
author = "S. Heinrich",
title = "Fast Obstacle Detection using Flow/Depth Constraint",
text = "S. Heinrich, Fast Obstacle Detection using Flow/Depth Constraint, in Procs.
IEEE Intelligent Vehicles Symposium 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/heinrich00fast.html" }
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