Title :
Automated street crossing for assistive robots
Author :
Baker, Michael ; Yanco, Holly A.
Author_Institution :
Dept. of Comput. Sci., Massachusetts Lowell Univ., MA, USA
fDate :
28 June-1 July 2005
Abstract :
Robotic systems that assist users by crossing a street safely and automatically would benefit people with vision and/or mobility impairments. This paper describes progress toward a street-crossing system for an assistive robotic system. The system detects and tracks vehicles in real time. It reasons about extracted motion regions in order to decide when it is safe to cross.
Keywords :
collision avoidance; handicapped aids; mobile robots; object detection; service robots; assistive robotic system; automated street crossing; street-crossing system; vehicle detection; Cameras; Layout; Mobile robots; Rehabilitation robotics; Remotely operated vehicles; Robot kinematics; Robot vision systems; Robotics and automation; Traffic control; Vehicle detection;
Conference_Titel :
Rehabilitation Robotics, 2005. ICORR 2005. 9th International Conference on
Print_ISBN :
0-7803-9003-2
DOI :
10.1109/ICORR.2005.1501081