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2019 | OriginalPaper | Chapter

All-Weather Vision for Automotive Safety: Which Spectral Band?

Authors : Nicolas Pinchon, Olivier Cassignol, Adrien Nicolas, Frédéric Bernardin, Patrick Leduc, Jean-Philippe Tarel, Roland Brémond, Emmanuel Bercier, Johann Brunet

Published in: Advanced Microsystems for Automotive Applications 2018

Publisher: Springer International Publishing

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Abstract

The 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 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.

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Glossary
ADAS:
Advanced Driver Assistance Systems
AWARE:
All Weather All Roads Enhanced vision
CMOS:
Complementary Metal Oxide Semiconductor
LIDAR:
LIght Detection And Ranging
LWIR:
Long-Wave InfraRed
NCAP:
New Car Assessment Programs
NIR:
Near InfraRed
RADAR:
RAdio Detection And Ranging
RGB:
Red-Green-Blue
SNR:
Signal-to-Noise Ratio
SWIR:
Short-Wave InfraRed
VRU:
Vulnerable Road User
Literature
1.
go back to reference French Road Safety Observatory (ONISR): Les accidents corporels de la circulation 2014 – Recueil de données brutes (2015) French Road Safety Observatory (ONISR): Les accidents corporels de la circulation 2014 – Recueil de données brutes (2015)
2.
go back to reference Premebida, C., Ludwig, O., Nunes, U.: Lidar and vision-based pedestrian detection system. J. Field Robot. 26(9), 696–711 (2009)CrossRef Premebida, C., Ludwig, O., Nunes, U.: Lidar and vision-based pedestrian detection system. J. Field Robot. 26(9), 696–711 (2009)CrossRef
Metadata
Title
All-Weather Vision for Automotive Safety: Which Spectral Band?
Authors
Nicolas Pinchon
Olivier Cassignol
Adrien Nicolas
Frédéric Bernardin
Patrick Leduc
Jean-Philippe Tarel
Roland Brémond
Emmanuel Bercier
Johann Brunet
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-99762-9_1

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