DocumentCode :
3306667
Title :
Visual recognition of obstacles on roads
Author :
Regensburger, Uwe ; Graefe, Volker
Author_Institution :
Inst. fur Messtechnik, Univ. der Bundeswehr Munchen, Neubiberg, Germany
Volume :
2
fYear :
1994
fDate :
12-16 Sep 1994
Firstpage :
980
Abstract :
As part of a driver support system for motor vehicles on freeways, an obstacle recognition system was developed within the EUREKA project PROMETHEUS over the last four years. The obstacle recognition system uses a single monochrome TV camera and a multi-processor robot vision system. The recognition system includes a road tracker and an obstacle detector that were described elsewhere, and an object classification and tracking module presented here. The module is based on generic 2D object models. It recognizes obstacles in real time and from distances of 200 to 300 m, sufficient for high-speed driving. The module was extensively tested in real-world scenes on the German Autobahn and on various other roads, including city streets with dense traffic
Keywords :
automobiles; computer vision; image classification; navigation; object recognition; tracking; 200 to 300 m; EUREKA project PROMETHEUS; driver support system; generic 2D object models; monochrome TV camera; motor vehicles; multiprocessor robot vision system; object classification; obstacle detector; road tracker; tracking module; visual obstacle recognition system; Cameras; Detectors; Layout; Object detection; Road vehicles; Robot vision systems; TV; Testing; Traffic control; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference on
Conference_Location :
Munich
Print_ISBN :
0-7803-1933-8
Type :
conf
DOI :
10.1109/IROS.1994.407483
Filename :
407483
Link To Document :
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