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DOI: 10.4230/OASIcs.ASD.2019.8
URN: urn:nbn:de:0030-drops-103411
URL: https://drops.dagstuhl.de/opus/volltexte/2019/10341/
Lachachi, Mohammed Yazid ; Ouslim, Mohamed ; Niar, Smail ; Taleb-Ahmed, Abdelmalik
TrueView: A LIDAR Only Perception System for Autonomous Vehicle (Interactive Presentation)
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Abstract
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.
BibTeX - Entry
@InProceedings{lachachi_et_al:OASIcs:2019:10341,
author = {Mohammed Yazid Lachachi and Mohamed Ouslim and Smail Niar and Abdelmalik Taleb-Ahmed},
title = {{TrueView: A LIDAR Only Perception System for Autonomous Vehicle (Interactive Presentation)}},
booktitle = {Workshop on Autonomous Systems Design (ASD 2019)},
pages = {8:1--8:10},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-102-3},
ISSN = {2190-6807},
year = {2019},
volume = {68},
editor = {Selma Saidi and Rolf Ernst and Dirk Ziegenbein},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10341},
URN = {urn:nbn:de:0030-drops-103411},
doi = {10.4230/OASIcs.ASD.2019.8},
annote = {Keywords: Ranging Data, Computer Vision, Machine Learning}
}
| Keywords: | Ranging Data, Computer Vision, Machine Learning | |
| Seminar: | Workshop on Autonomous Systems Design (ASD 2019) | |
| Issue date: | 2019 | |
| Date of publication: | 28.03.2019 |
