SWEET: A Realistic Multiwavelength 3D Simulator for Automotive Perceptive Sensors in Foggy Conditions - Archive ouverte HAL
Article Dans Une Revue Journal of Imaging Année : 2023

SWEET: A Realistic Multiwavelength 3D Simulator for Automotive Perceptive Sensors in Foggy Conditions

Amine Ben-Daoued
Pierre Duthon

Résumé

Improving the reliability of automotive perceptive sensors in degraded weather conditions, including fog, is an important issue for road safety and the development of automated driving. Cerema has designed the PAVIN platform reproducing fog and rain conditions to evaluate optical automotive sensor performance under these conditions. In order to increase the variety of scenarios and technologies under test, the use of digital simulation becomes a major asset. The purpose of this paper is to revive the debate around the realism of the various models underlying the numerical methods. The simulation of the radiative transfer equation by Monte Carlo methods and by simplified noise models is examined. The results of this paper show some gaps in foggy scenes between the ray-tracing method, which is considered to be the most realistic, and simple models for contrast evaluation, which can have a particularly strong impact on obstacle detection algorithms.

Dates et versions

hal-04434791 , version 1 (02-02-2024)

Identifiants

Citer

Amine Ben-Daoued, Pierre Duthon, Frédéric Bernardin. SWEET: A Realistic Multiwavelength 3D Simulator for Automotive Perceptive Sensors in Foggy Conditions. Journal of Imaging, 2023, 9 (2), pp.54. ⟨10.3390/jimaging9020054⟩. ⟨hal-04434791⟩

Collections

CEREMA
14 Consultations
0 Téléchargements

Altmetric

Partager

More