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Road meteorological condition sensor based on multi-wavelength light detection
Ruan, Chi; Wang, Yuntao; Ma, Xinxu; Kang, Heng
2019
Conference Name3rd International Conference on Photonics and Optical Engineering
Source PublicationThird International Conference on Photonics and Optical Engineering
Volume11052
Conference Date2018-12-05
Conference PlaceXi'an, China
PublisherSPIE
Contribution Rank1
AbstractRoad surface meteorological conditions are very important for traffic safety. According to the statistics, the ratio of traffic accidents that occur on icy, wet and dry road surface is about 4.2:1.6:1. A remote road surface meteorological condition sensor based on multi-wavelength light was developed in this paper which could identify the road surface condition including dry, wet, icy and snow, that may be vital for preventing traffic accidents. By using multi-wavelength optical remote sensing technology and near infrared light source, the diffuse reflectance spectrum of road surface can be detected. The four road surface states of dry, wet, ice and snow can be measured with non-contact method, and the thickness of pavement water film can also be measured. Such road sensors were used on G50 highway in Chongqing, China. Experiment results show that the system could meet the requirements well. ? 2019 SPIE.
Department瞬态光学技术国家重点实验室
DOI10.1117/12.2522311
Indexed ByEI
ISBN9781510627796
Language英语
ISSN0277786X;1996766X
EI Accession Number20190806535061
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31282
Collection瞬态光学技术国家重点实验室
Corresponding AuthorRuan, Chi
AffiliationXi'An Institute of Optics and Precision Mechanics, CAS, Xi'an, Shaanxi; 710119, China
Recommended Citation
GB/T 7714
Ruan, Chi,Wang, Yuntao,Ma, Xinxu,et al. Road meteorological condition sensor based on multi-wavelength light detection[C]:SPIE,2019.
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