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.
Robust real-time lane and road detection in critical shadow conditions
1995-01-01
975628 byte
Conference paper
Electronic Resource
English
Robust Real-time Lane and Road Detection in Critical Shadow Conditions
British Library Conference Proceedings | 1995
|Real-Time Robust Lane Marking Detection and Tracking for Degraded Lane Markings
British Library Conference Proceedings | 2017
|Real-Time Robust Lane Marking Detection and Tracking for Degraded Lane Markings
SAE Technical Papers | 2017
|A Robust Lane Detection Using Real-time Voting Processor
British Library Conference Proceedings | 1999
|A robust lane detection using real-time voting processor
IEEE | 1999
|