Title :
A robust cognitive approach to traffic scene analysis
Author :
Wetzel, Dirk ; Niemann, Heinrich ; Richter, Silke
Author_Institution :
FORWISS, Erlangen-Nurnberg Univ., Germany
Abstract :
A model based approach to monocular image sequence analysis of road traffic scenes is presented. Within this framework a vision system for applications like autonomous driving and collision avoidance was developed. The approach takes part in problems of selective and active vision. The fully automatic system MOSAIK recognizes and describes all visual vehicles on or near the road. It solves the problem to compute a robust scene description under egomotion nearly in realtime on a standard monoprocessor workstation. MOSAIK has been tested by using typical German `Autobahn´ and road scenes. This paper describes the vision approach and the interaction of vehicle recognition and tracking and the influence of attention control
Keywords :
active vision; image sequences; road traffic; MOSAIK; active vision; attention control; autonomous driving; cognitive approach; collision avoidance; image sequence analysis; realtime; road traffic scenes; robust; tracking; traffic scene analysis; vehicle recognition; vision system; Collision avoidance; Image analysis; Image sequence analysis; Layout; Machine vision; Remotely operated vehicles; Road vehicles; Robustness; Traffic control; Workstations;
Conference_Titel :
Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on
Conference_Location :
Sarasota, FL
Print_ISBN :
0-8186-6410-X
DOI :
10.1109/ACV.1994.341291
