Skip to Main content Skip to Navigation
Conference papers

LIDAR and Stereo-Camera fusion for reliable Road Extraction

Abstract : his paper presents a novel approach that combines LIDAR and Stereo-cameras. First, a stereo camera is used to guide the extraction of road surface points from a 3D point cloud obtained by a LIDAR. Then, the number of points is reduced based on their elevation and illumination invariant colors. Finally, a post-processing is applied to have a projection in an image to obtain the final segmentation of the road. The method has been tested on three types of roads as defined in the KITTI benchmark. The obtained experimental results prove the effectiveness of our approach and its robustness in accuracy compared to existing approaches in the literature.
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03382394
Contributor : Kathleen Torck Connect in order to contact the contributor
Submitted on : Monday, October 18, 2021 - 11:09:07 AM
Last modification on : Wednesday, November 3, 2021 - 8:44:47 AM

Identifiers

Collections

Citation

Mohammed Yazid Lachachi, Mohamed Ouslim, Abdelmalik Taleb-Ahmed, Smail Niar. LIDAR and Stereo-Camera fusion for reliable Road Extraction. 2018 30th International Conference on Microelectronics (ICM), Dec 2018, Sousse, Tunisia. pp.64-67, ⟨10.1109/ICM.2018.8704114⟩. ⟨hal-03382394⟩

Share

Metrics

Record views

7