Near-infrared LED system to recognize road surface conditions for autonomous vehicles

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION

Journal of Sensors and Sensor Systems Pub Date : 2022-06-29 DOI:10.5194/jsss-11-187-2022

Hongyi Zhang, Shéhérazade Azouigui, R. Sehab, M. Boukhnifer

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引用次数: 2

Abstract

Abstract. The driving safety of autonomous vehicles will strongly depend on their ability to recognize road surface conditions such as dry, wet, snowy and icy road. Currently, the existing investigations to detect road surface conditions still have limitations in daytime and nighttime conditions. The objective of this paper is to propose and develop a new system with three near-infrared (NIR) LED sources. This choice is based on the advantages of LED sources over laser diodes. They are less sensitive to temperature and have lower costs. Considering these advantages, the feasibility of the LED system to recognize road surface conditions is investigated. For this, the appropriate wavelengths of the LED tri-wavelength source are first computed from experimental data taking into account the specific LED spectral shape. In addition, the effect of the spectral bandwidth of the LED sources on the system performance is theoretically studied. Finally, the NIR LED system with the LED sources at 970, 1450 and 1550 nm is experimentally tested and validated with an incident angle from 78.7 to 86.2∘. According to the results of the experiments, the accuracy of the classification of snow, wet and water can reach 97 %, while the accuracy of the dry and wet road surface conditions is respectively 73 % and 68 %.

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用于识别自动驾驶汽车路面状况的近红外LED系统

摘要自动驾驶汽车的驾驶安全性将在很大程度上取决于它们对干燥、潮湿、下雪和结冰道路等路面状况的识别能力。目前，现有的探测路面状况的调查在白天和夜间情况下仍然存在局限性。本文的目的是提出并开发一个由三个近红外(NIR) LED光源组成的新系统。这种选择是基于LED光源相对于激光二极管的优势。它们对温度不那么敏感，成本也更低。考虑到这些优点，对LED系统识别路面状况的可行性进行了研究。为此，考虑到特定的LED光谱形状，首先根据实验数据计算LED三波长源的适当波长。此外，还从理论上研究了LED光源的光谱带宽对系统性能的影响。最后，对光源为970、1450和1550 nm的近红外LED系统进行了实验测试和验证，入射角为78.7到86.2°。实验结果表明，该方法对雪、湿、水的分类准确率可达97%，对干、湿路面的分类准确率分别为73%和68%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-

CiteScore

2.30

自引率

10.00%

发文量

审稿时长

23 weeks

期刊介绍： Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.