OASIcs.ASD.2019.8.pdf
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TrueView: A LIDAR Only Perception System for Autonomous Vehicle (Interactive Presentation)
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Workshop on Autonomous Systems Design (ASD 2019)
Series: Open Access Series in Informatics (OASIcs)
Conference: Workshop on Autonomous Systems Design (ASD) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2019-03-28
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Mohammed Yazid Lachachi, Mohamed Ouslim, Smail Niar, and Abdelmalik Taleb-Ahmed. TrueView: A LIDAR Only Perception System for Autonomous Vehicle (Interactive Presentation). In Workshop on Autonomous Systems Design (ASD 2019). Open Access Series in Informatics (OASIcs), Volume 68, pp. 8:1-8:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/OASIcs.ASD.2019.8
https://doi.org/10.4230/OASIcs.ASD.2019.8
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.
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- Computing methodologies → Computer vision representations
Keywords
- Ranging Data
- Computer Vision
- Machine Learning
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