Title :
Visual detection of distant objects
Author :
Solder, Ulrich ; Graefe, Volker
Author_Institution :
Inst. fuer Mebtech., Univ. der Bundeswehr Munchen, Neubiberg, Germany
Abstract :
Taking an autonomous road vehicle as an example, approaches and methods for object detection (this being the first step of obstacle recognition) are discussed. Vision, using a single passive camera as the primary sensor and a real-time vision system for analyzing the resulting image sequence, is found to be the best approach. Results obtained in real-world experiments with such a system are reported: large obstacles have been detected in distances up to 716 m; all relevant objects that were encountered during a prolonged test on a highway were detected; the cycle time of the detection process was below 100 ms, and less than one false alarm occurred per minute
Keywords :
computer vision; autonomous road vehicle; cycle time; detection process; distant objects; highway; image sequence; object detection; obstacle recognition; primary sensor; real-time vision system; real-world experiments; single passive camera; Cameras; Image analysis; Image sensors; Image sequence analysis; Image sequences; Machine vision; Object detection; Real time systems; Road vehicles; Sensor systems;
Conference_Titel :
Intelligent Robots and Systems '93, IROS '93. Proceedings of the 1993 IEEE/RSJ International Conference on
Conference_Location :
Yokohama
Print_ISBN :
0-7803-0823-9
DOI :
10.1109/IROS.1993.583291