Road condition analysis using NIR illumination and compensating for surrounding light |
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| Institution: | 1. Division of Fluid and Experimental Mechanics, Luleå University of Technology, 971 87 Luleå, Sweden;2. Department of Information Technology and Media, Mid Sweden University, 831 25 Östersund, Sweden;1. Department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA;2. Department of Mechanical Engineering, Northern Illinois University, DeKalb, IL 60115, USA;3. Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari 70126, Italy;2. Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York;3. Thoracic Oncology Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York;1. School of Mining Engineering, Campus Lagoas s/n, University of Vigo, 36310 Vigo, Spain;2. Defense University Center at the Naval Academy, Plaza de España, 36920 Marín, Spain |
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| Abstract: | An investigation of a NIR camera system for road surface classification has been conducted for several road conditions. The surfaces were illuminated with three wavelengths, 980 nm, 1310 nm and 1550 nm and a halogen lamp, to simulate a real environment application with surrounding light. A measuring scheme to deal with surrounding light has been implemented enabling road condition classification from NIR images in a real environment. The retrieved camera images have been analyzed and an RGB representation of the different surfaces has been created to classify the different road conditions. The investigation shows that it is possible to distinguish between dry, moist, wet, frosty, icy and snowy road surfaces using a NIR camera system in a disturbed environment. |
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| Keywords: | Optics at surfaces Infrared imaging Hyperspectral imaging Scattering measurements Cameras |
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