Robust real-time lane and road detection in critical shadow conditions
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 353-358
- https://doi.org/10.1109/iscv.1995.477027
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
This publication has 18 references indexed in Scilit:
- A massively parallel road followerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The Paprica massively parallel processorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A morphological model-driven approach to real-time road boundary detection for vision-based automotive systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Parallel and local feature extraction: a real-time approach to road boundary detectionIEEE Transactions on Image Processing, 1995
- LaneLok: robust line and curve fitting of lane boundariesPublished by SPIE-Intl Soc Optical Eng ,1993
- SCARF: a color vision system that tracks roads and intersectionsIEEE Transactions on Robotics and Automation, 1993
- Recursive 3-D road and relative ego-state recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- LANELOK: an algorithm for extending the lane sensing operating range to 100-feetPublished by SPIE-Intl Soc Optical Eng ,1991
- Explicit Models for Robot Road FollowingPublished by Springer Nature ,1990
- Image Analysis Using Mathematical MorphologyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987