Title :
Fast obstacle detection using flow/depth constraint
Author_Institution :
DaimlerChrysler AG, Ulm, Germany
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.
Keywords :
automotive electronics; computer vision; image motion analysis; object detection; stereo image processing; DaimlerChrysler UTA project; Urban Traffic Assistance project; children; fast obstacle detection; flow/depth constraint; inner city traffic; motion analysis; pedestrians; stereo vision; vision based driver assistance systems; Cities and towns; Image motion analysis; Motion analysis; Motion detection; Motion estimation; Object detection; Road accidents; Robustness; Stereo vision; Vehicles;
Conference_Titel :
Intelligent Vehicle Symposium, 2002. IEEE
Print_ISBN :
0-7803-7346-4
DOI :
10.1109/IVS.2002.1188026