DocumentCode :
3127324
Title :
Overtaking vehicle detection using implicit optical flow
Author :
Batavia, Parag H. ; Pomerleau, Dean A. ; Thorpe, Charles E.
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1997
fDate :
9-12 Nov 1997
Firstpage :
729
Lastpage :
734
Abstract :
We describe an optical flow based obstacle detection system for use in detecting vehicles approaching the blind spot of a car on highways and city streets. The system runs at near frame rate (8-15 frames/second) on PC hardware. We will discuss the prediction of a camera image given an implicit optical flow field and comparison with the actual camera image. The advantage to this approach is that we never explicitly calculate optical flow. We will also present results on digitized highway images, and video taken from Navlab 5 while driving on a Pittsburgh highway
Keywords :
automated highways; automotive electronics; computer vision; image sequences; microcomputer applications; object detection; 8 to 15 Hz; Navlab 5; PC hardware; Pennsylvania; Pittsburgh highway; USA; blind spot; camera image prediction; implicit optical flow; obstacle detection system; overtaking vehicle detection; Automated highways; Cameras; Cities and towns; Hardware; Image motion analysis; Laser radar; Optical sensors; Radar detection; Road vehicles; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
Type :
conf
DOI :
10.1109/ITSC.1997.660564
Filename :
660564
Link To Document :
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