Weather Effects on Obstacle Detection for Autonomous Car

Rui Song, Jon Wetherall, Simon Maskell, Jason Ralph

Abstract

Adverse weather conditions have become a critical issue when developing autonomous vehicles and driver assistance systems. Training and testing autonomous vehicles in a simulation environment before deploying them into the market have many benefits due to lower costs and fewer risks. However, there are only a few works about weather influences on sensors in the simulated environment. A more systematic study of weather effects on the sensors used on autonomous cars is required. This paper presents a multi-sensor simulation environment under different weather conditions and examines the influence on environmental perception and obstacle detection for autonomous cars. The simulation system is being developed as part of a collaborative project entitled: Artificial Learning Environment for Autonomous Driving (ALEAD). The system incorporates a suite of sensors typically used for autonomous cars. Each sensor model has been developed to be as realistic as possible – incorporating physical defects and other artefacts found in real sensors. The influence of weather on these sensors has been simulated based on experimental data. The multi-sensor system has been tested under different simulated weather conditions and analysed to determine the effect on detection of a dynamic obstacle and a road lane in a 3D environment.

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Paper Citation


in Harvard Style

Song R., Wetherall J., Maskell S. and Ralph J. (2020). Weather Effects on Obstacle Detection for Autonomous Car.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 331-341. DOI: 10.5220/0009354503310341


in Bibtex Style

@conference{vehits20,
author={Rui Song and Jon Wetherall and Simon Maskell and Jason Ralph},
title={Weather Effects on Obstacle Detection for Autonomous Car},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={331-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009354503310341},
isbn={978-989-758-419-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Weather Effects on Obstacle Detection for Autonomous Car
SN - 978-989-758-419-0
AU - Song R.
AU - Wetherall J.
AU - Maskell S.
AU - Ralph J.
PY - 2020
SP - 331
EP - 341
DO - 10.5220/0009354503310341