Simulation of weather conditions perturbation for an automotive LiDAR sensor

@inproceedings{Prabakaran2024,
title = {Simulation of weather conditions perturbation for an automotive LiDAR sensor},
author = {Sylvestre Prabakaran and Youri Noutatiem and Ammar Ridzuan and Tchoya-Florence Kone and Otmane Attou},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
isbn = {978-2-9573777-5-6},
year  = {2024},
date = {2024-09-18},
booktitle = {Proceedings of the Driving Simulation Conference 2024 Europe VR},
pages = {187-194},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {Perception algorithms based on LiDAR sensors are more and more widely used in intelligent transport systems, such as ADAS and autonomous vehicles. As new technological advancements evolve, industrial LiDAR sensors are becoming much more affordable and equipped on modern vehicles. Despite their accuracy for mapping the environment and estimating precise distances, the operation of LiDAR is known to be affected by adverse weather conditions, thus reducing the operational design domain of vehicles equipped with this type of sensor. Tests in simulation of intelligent transport systems have been widely used in the industry throughout the whole cycle of development, to accelerate R&D and reduce time to market costs. It is thus important to improve the virtual models of LiDAR sensors to ensure the reproduction of realistic and adverse weather conditions in simulation test. This is the aim of project CVH (Tool-based chain for the validation and certification of the connected automated vehicle). This paper introduces a methodology of acquiring real world data and through data analysing and processing be able to create and improve the current model of perfect sensors by implementing the effects of perturbations, whether it be hardware or weather caused.},
keywords = {},
}

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TY  - CONF
TI  - Simulation of weather conditions perturbation for an automotive LiDAR sensor
AU  - Prabakaran, Sylvestre
AU  - Noutatiem, Youri
AU  - Ridzuan, Ammar
AU  - Kone, Tchoya-Florence
AU  - Attou, Otmane
C1  - Strasbourg, France
C3  - Proceedings of the Driving Simulation Conference 2024 Europe VR
DA  - 2024/09/18
PY  - 2024
SP  - 187
EP  - 194
LA  - en-US
PB  - Driving Simulation Association
SN  - 978-2-9573777-5-6
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2024/simulation-of-weather-conditions-perturbation-for-an-automotive-lidar-sensor
ER  - 

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