DocumentCode :
2817008
Title :
EMS-vision: recognition of intersections on unmarked road networks
Author :
Lützeler, M. ; Dickmanns, E.D.
Author_Institution :
Inst. fur Systemdynamik und Flugmech., Univ. der Bundeswehr Munchen, Neubiberg, Germany
fYear :
2000
fDate :
2000
Firstpage :
302
Lastpage :
307
Abstract :
The ability to recognize intersections enables an autonomous vehicle to navigate on road networks for performing complex missions. The paper gives the geometry model for intersections applied and their interaction with active viewing direction control. Quality measures indicate to performance monitoring processes the reliability of the estimation results. The perception module is integrated in the EMS-Vision system. Results from autonomous turn-off maneuvers, conducted on unmarked campus roads are discussed
Keywords :
mobile robots; robot vision; software agents; EMS-Vision system; autonomous vehicle; autonomous vehicles; dynamic machine vision; performance monitoring; road navigation; road networks; road recognition; unmarked road networks; Cameras; Geometry; Layout; Machine vision; Monitoring; Navigation; Road vehicles; Solid modeling; Vehicle detection; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-6363-9
Type :
conf
DOI :
10.1109/IVS.2000.898359
Filename :
898359
Link To Document :
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