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

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Advanced Microsystems for Automotive Applications 2018 (AMAA 2018)

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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References

  1. French Road Safety Observatory (ONISR): Les accidents corporels de la circulation 2014 – Recueil de données brutes (2015)

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  2. Premebida, C., Ludwig, O., Nunes, U.: Lidar and vision-based pedestrian detection system. J. Field Robot. 26(9), 696–711 (2009)

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Acknowledgement

The authors acknowledge the contribution of their colleagues to this work: P. Morange, J-L. Bicard and all the pedestrians from CEREMA, A. Picard from Sagem and B. Yahiaoui from Nexyad.

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Correspondence to Emmanuel Bercier .

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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

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Pinchon, N. et al. (2019). All-Weather Vision for Automotive Safety: Which Spectral Band?. In: Dubbert, J., Müller, B., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2018. AMAA 2018. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-99762-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-99762-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99761-2

  • Online ISBN: 978-3-319-99762-9

  • eBook Packages: EngineeringEngineering (R0)

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