高原环境下暗冰图像识别研究综述
Journal: Ecological Environment and Protection DOI: 10.12238/eep.v7i4.2048
Abstract
本文综述了针对高原地区道路暗冰问题的研究现状,涵盖多个方面,具体包括图像识别技术、传感器技术、气象数据分析技术以及其他相关技术。其中,重点论述了图像识别技术在道路暗冰检测中的应用。通过对各项技术的深入分析,本文探讨了在实际应用中,其优缺点和挑战。除此之外,本文提出了未来研究的发展方向和展望,旨在为道路暗冰的有效识别和预防提供了理论支持和技术指导。
Keywords
道路暗冰；图像识别；预防
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[1] 孙志勇.道路暗冰路段总体设计研究[J].建筑,2022(03):76-77.
[2] Kim,J.;Kim,E.;Kim, D. A Black Ice Detection Method Based on 1-Dimensional CNN Using mmWave Sensor Backscattering. Remote Sens.2022,14,5252.https://.
[3] Lee,H.;Kang,M.;Song, J.; Hwang, K. The Detection of Black Ice Accidents for Preventative Automated Vehicles Using Convo lutional Neural Networks. Electronics 2020,9,2178.https://.
[4] Phan,Tam & Jang, Min-Seok & Park, Daewook. (2022). Black Ice Prediction Model for Road Pavement Using Weather Fore cast Data and GIS Database. The Baltic Journal of Road and Bridge Engineering.17.63-79.
[2] Kim,J.;Kim,E.;Kim, D. A Black Ice Detection Method Based on 1-Dimensional CNN Using mmWave Sensor Backscattering. Remote Sens.2022,14,5252.https://.
[3] Lee,H.;Kang,M.;Song, J.; Hwang, K. The Detection of Black Ice Accidents for Preventative Automated Vehicles Using Convo lutional Neural Networks. Electronics 2020,9,2178.https://.
[4] Phan,Tam & Jang, Min-Seok & Park, Daewook. (2022). Black Ice Prediction Model for Road Pavement Using Weather Fore cast Data and GIS Database. The Baltic Journal of Road and Bridge Engineering.17.63-79.
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