深度学习的无人机 + 5G公路巡检系统
UAV + 5G Highway Inspection System of Deep Learning
DOI: 10.12677/CSA.2021.116182, PDF,   
作者: 刁含楼, 吴 岚：华设设计集团股份有限公司，江苏 南京；王 锐, 阮雅端, 陈启美：南京大学电子科学与工程学院，江苏 南京
关键词: 无人机；5G；深度学习；公路巡检；UAV； 5G； Deep Leaning； Highway Inspection
摘要: 公路固定监控摄像头存在视距范围小，监控死角等问题，难以满足公路监控的需求，而无人机具有灵活性强、效率高、覆盖范围大等优点，且其与5G结合可以在公路监控领域充分发挥其优势。基于该背景，文章对深度学习的无人机 + 5G巡检系统进行了探讨，5G帮助无人机解决传输距离及传输时延的问题，使其在公路巡检成为可能，并且针对无人机高空巡检视频处理其存在的主要问题——检测准确率与跟踪实时性，使用相应深度学习算法进行实验，最后根据实验效果进行分析。
Abstract: Highway fixed surveillance cameras have some problems such as small visual range and dead corners, which are difficult to meet the needs of highway monitoring. UAV (Unmanned Aerial Vehicle) has the advantages of strong flexibility, high efficiency, and large coverage. The combination of UAV and 5G can play a huge role in the field of highway monitoring. Based on this background, the paper discusses the UAV + 5G inspection system of deep learning. 5G helps UAV solve the problems of transmission distance and transmission delay, making it possible to conduct road inspections. For the main problems of detection accuracy and real-time tracking of video processing in high-altitude inspection, the paper uses the corresponding deep learning algorithm to conduct experiments, and finally analyze according to the experimental results.
文章引用：刁含楼, 王锐, 吴岚, 阮雅端, 陈启美. 深度学习的无人机 + 5G公路巡检系统[J]. 计算机科学与应用, 2021, 11(6): 1763-1771. https://doi.org/10.12677/CSA.2021.116182

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