Title :
Visual processing for vehicle control functions
Author :
Riseman, E.M. ; Sawhney, H.S. ; Hanson, A.R. ; Beveridge, J.R. ; Kumar, R.
Author_Institution :
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA
fDate :
29 Jun-1 Jul 1992
Abstract :
Advanced vehicle control functions are a necessity for intelligent vehicle highway systems. The authors present an outline of a set of vision functions that can deliver the required capabilities, and survey a number of algorithms developed at the University of Massachusetts that can provide these functions. Furthermore, highlights and salient results of three motion analysis, model matching and pose estimation algorithms are presented
Keywords :
image processing; road vehicles; transport computer control; IVHS; intelligent vehicle highway systems; model matching; motion analysis; pose estimation algorithms; vehicle control functions; vision functions; visual processing; Automated highways; Automatic control; Automatic voltage control; Collision avoidance; Control systems; Intelligent vehicles; Laboratories; Object detection; Process control; Road vehicles;
Conference_Titel :
Intelligent Vehicles '92 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-0747-X
DOI :
10.1109/IVS.1992.252291
