Title :
Robust real-time lane and road detection in critical shadow conditions
Author_Institution :
Dipartimento di Ingegneria dell´´Inf., Parma Univ., Italy
Abstract :
This paper presents the vision-based road detection system currently installed onto the MOB-LAB land vehicle. Based on a geometrical transform and on a fast morphological processing, the system is capable to detect road markings even in extremely severe shadow allows to achieve a processing rate of about 17 Hz
Keywords :
mathematical morphology; mobile robots; path planning; robot vision; MOB-LAB land vehicle; critical shadow conditions; fast morphological processing; geometrical transform; robust real-time lane and road detection; Cameras; Color; Hardware; Image segmentation; MONOS devices; Neural networks; Real time systems; Road vehicles; Robustness; System testing;
Conference_Titel :
Computer Vision, 1995. Proceedings., International Symposium on
Conference_Location :
Coral Gables, FL
Print_ISBN :
0-8186-7190-4
DOI :
10.1109/ISCV.1995.477027
