Understanding the Scene: Identifying the Proper Sensor Mix in Different Weather Conditions

Ziad Elmassik, Mohamed Sabry, Amr El Mougy

2022

Abstract

Autonomous vehicles rely on a variety of sensors for accurate perception and understanding of the scene. Behind these sensors, complex networks and systems perform the driving tasks. Data from the sensors is constantly perturbed by various noise elements, which compromises the reliability of the vehicle’s perception systems. Sensor fusion may be applied to overcome these challenges, especially when the data from the different sensors lead to contradicting results. Nevertheless, weather conditions such as rain, snow, fog, and direct sunlight have an impact on the quality of sensor data, in different ways. This challenge has not been studied in depth, according to the best knowledge of the authors. Accordingly, this paper presents an extensive study of perception systems under different weather conditions, using real-life datasets (nuScenes and the CADCD). We identify a set of evaluation metrics and study the quality of data from different sensors in different scenarios and conditions. Our performance analysis produces insight as to the proper sensor mix that should be used in different weather conditions.

Paper Citation

in Harvard Style

Elmassik Z., Sabry M. and El Mougy A. (2022). Understanding the Scene: Identifying the Proper Sensor Mix in Different Weather Conditions. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 785-792. DOI: 10.5220/0010911900003116

in Bibtex Style

@conference{icaart22,
author={Ziad Elmassik and Mohamed Sabry and Amr El Mougy},
title={Understanding the Scene: Identifying the Proper Sensor Mix in Different Weather Conditions},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={785-792},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010911900003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Understanding the Scene: Identifying the Proper Sensor Mix in Different Weather Conditions
SN - 978-989-758-547-0
AU - Elmassik Z.
AU - Sabry M.
AU - El Mougy A.
PY - 2022
SP - 785
EP - 792
DO - 10.5220/0010911900003116