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
French Road Safety Observatory (ONISR): Les accidents corporels de la circulation 2014 – Recueil de données brutes (2015)
Premebida, C., Ludwig, O., Nunes, U.: Lidar and vision-based pedestrian detection system. J. Field Robot. 26(9), 696–711 (2009)
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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Glossary
- ADAS:
-
Advanced Driver Assistance Systems
- AWARE:
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All Weather All Roads Enhanced vision
- CMOS:
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Complementary Metal Oxide Semiconductor
- LIDAR:
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LIght Detection And Ranging
- LWIR:
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Long-Wave InfraRed
- NCAP:
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New Car Assessment Programs
- NIR:
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Near InfraRed
- RADAR:
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RAdio Detection And Ranging
- RGB:
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Red-Green-Blue
- SNR:
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Signal-to-Noise Ratio
- SWIR:
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Short-Wave InfraRed
- VRU:
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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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