2026-08-16T19:54:52Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10341 2024-03-06T10:30:31Z ddc:004 open_access

TrueView: A LIDAR Only Perception System for Autonomous Vehicle (Interactive Presentation) Lachachi, Mohammed Yazid Ouslim, Mohamed Niar, Smail Taleb-Ahmed, Abdelmalik Ranging Data Computer Vision Machine Learning Real time perception and understanding of the environment is essential for an autonomous vehicle. To obtain the most accurate perception, existing solutions propose to combine multiple sensors. However, a large number of embedded sensors in the vehicle implies to process a large amount of data thus increasing the system complexity and cost. In this work, we present a novel approach that uses only one LIDAR sensor. Our approach enables reducing the size and complexity of the used machine learning algorithm. A novel approach is proposed to generate multiple 2D representation from 3D points cloud using the LIDAR sensor. The obtained representation solves the sparsity and connectivity issues encountered with LIDAR-based solution. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Mohammed Yazid Lachachi and Mohamed Ouslim and Smail Niar and Abdelmalik Taleb-Ahmed 2019 Is Part Of OASIcs, Volume 68, Workshop on Autonomous Systems Design (ASD 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ASD.2019.8 urn:nbn:de:0030-drops-103411 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2019.8 eng https://creativecommons.org/licenses/by/3.0/legalcode