Suppr超能文献

光学危险路况检测。

Optical Detection of Dangerous Road Conditions.

机构信息

NooEL-Nonlinear Optics and OptoElectronics Laboratory and CNIT-Photonic Networks and Technologies National Lab, Department of Engineering, University ROMA TRE, Via Vito Volterra 62, 00146 Rome, Italy.

出版信息

Sensors (Basel). 2019 Mar 19;19(6):1360. doi: 10.3390/s19061360.

Abstract

We demonstrated an optical method to evaluate the state of asphalt due to the presence of atmospheric agents using the measurement of the polarization/depolarization state of near infrared radiation. Different sensing geometries were studied to determine the most efficient ones in terms of performance, reliability and compactness. Our results showed that we could distinguish between a safe surface and three different dangerous surfaces, demonstrating the reliability and selectivity of the proposed approach and its suitability for implementing a sensor.

摘要

我们展示了一种使用近红外辐射的偏振/去偏振状态测量来评估大气物质对沥青状态的光学评估方法。研究了不同的传感几何形状,以确定在性能、可靠性和紧凑性方面最有效的几何形状。我们的结果表明,我们可以区分安全表面和三种不同的危险表面,证明了所提出方法的可靠性和选择性及其用于实现传感器的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5757/6471196/d906172c44bb/sensors-19-01360-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验