All-weather vision for automotive safety: which spectral band?

AMAA 2018, Advanced Microsystems for Automotive Applications, Berlin, ALLEMAGNE, 11-/09/2018 - 12/09/2018The AWARE (All Weather All Roads Enhanced vision) French public funded project is aiming at the development of a low cost sensor fitting to automotive and aviation requirements, and enabling a vision in all poor visibility conditions, suchas night, fog, rain and snow. In order to identify the technologies providing the best all-weather vision, we evaluated the relevance of four different spectral bands: Visible RGB, Near-Infrared (NIR), Short-Wave Infrared (SWIR) and Long-Wave Infrared (LWIR). Two test campaigns have been realized in outdoor natural conditions and in artificial fog tunnel, with four cameras recording simultaneously.This paper presents the detailed results of this comparative study, focusing on pedestrians, vehicles, traffic signs and lanes detection.Le projet financé par les fonds publics français AWARE (All Weather All Roads Enhanced) vise à mettre au point un capteur à faible coût qui réponde aux exigences de l'industrie automobile et de l'aviation fonctionnant de nuit, avec brouillard, pluie et neige. Afin d'identifier les technologies offrant la meilleure vision possible par tous les temps, nous avons évalué la pertinence de quatre bandes spectrales possibles : RVB visible, infrarouge proche (NIR), infrarouge à ondes courtes (SWIR) et infrarouge à ondes longues (LWIR). Deux campagnes de test ont été réalisées dans des conditions naturelles en extérieures et dans un tunnel à brouillard, avec quatre caméras enregistrant simultanément. Cet article présente les résultats détaillés de cette étude comparative qui a focalisée sur la détection des piétons, des véhicules, des panneaux de signalisation et des voies

All-weather vision for automotive safety: which spectral band?

SIA Vision 2016 - International Conference Night Drive Tests and Exhibition, Paris, FRANCE, 13-/10/2016 - 14/10/2016The AWARE (All Weather All Roads Enhanced vision) French public funded project is aiming at the development of a low cost sensor fitting to automotive and aviation requirements, and enabling a vision in all poor visibility conditions, such as night, fog, rain and snow. In order to identify the technologies providing the best all-weather vision, we evaluated the relevance of four different spectral bands: Visible RGB, Near-Infrared (NIR), Short-Wave Infrared (SWIR) and Long-Wave Infrared (LWIR). Two test campaigns have been realised in outdoor natural conditions and in artificial fog tunnel, with four cameras recording simultaneously.This paper presents the detailed results of this comparative study, focusing on pedestrians, vehicles, traffic signs and lanes detection