Title :
Occlusions in obstacle detection for safe navigation
Author :
Sadou, M. ; Polotski, V. ; Cohen, P.
Author_Institution :
Perception & Robotics Lab., Ecole Polytech., Montreal, Que., Canada
Abstract :
Obstacles detection is essential to safe autonomous platform navigation. The obstacle detection methods proposed in the literature do not pay sufficient attention to the occlusion-problem caused by the existence of regions along the trajectory of a vehicle that are hidden by other objects and where potential obstacles might be located. Our approach takes occlusions into account to prevent the possibility of collision. Experimental results with a robotic platform demonstrating the effectiveness of the developed algorithm are presented.
Keywords :
collision avoidance; computerised navigation; laser ranging; mobile robots; object detection; traffic engineering computing; vehicles; obstacle detection; occlusions; robotic platform; safe autonomous platform navigation; vehicle; Cameras; Collision avoidance; Laboratories; Laser radar; Radar detection; Remotely operated vehicles; Robots; Sonar detection; Sonar navigation; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336472