Title
Stereo road detection based on ground plane
DOI
https://doi.org/10.1007/978-3-319-27340-2_92
Document Type
Conference Proceeding
Publication Date
1-1-2015
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
This paper presents a robust road perception algorithm aimed to detect multiple lanes with temporal integration, one of the most important tasks in Advanced Driver Assistance Systems (ADAS). A new vision-based system is proposed, consisting on three parts: a line marker detection algorithm, a road line classification and a lane tracking integration. The goal is to detect the position, type and number of road lanes. The developed approach is characterized by the use of the bird’s eye view, road marks filtering based on gradient space algorithms, robust features descriptor for line classification, and road tracking based on time of life for each detected lane. The road detection is done according to the Spanish standard IC 8.2. The system was tested on the test platform IvvI 2.0.
Volume
9520
First Page
748
Last Page
755
ISSN
03029743
ISBN
9783319273396
Recommended Citation
Rodríguez-Garavito, C. H.; Carmona-Fernández, J.; de la Escalera, A.; and Armingol, J. M., "Stereo road detection based on ground plane" (2015). Scopus Unisalle. 440.
https://ciencia.lasalle.edu.co/scopus_unisalle/440
Identifier
SCOPUS_ID:84952316903