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基于路网监测设施的公路精准定位巡查系统研发及应用
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Abstract:
针对传统被动式人工模式难以发挥PTZ (Pan/Tilt/Zoom)摄像机监控能力的问题,文中提出了一种基于路网监测设施的公路精准定位巡查系统,将摄像机不同预置位与里程桩号定量化匹配,从而实现按照里程桩号、时间自定义查询条件进行主动时空控制的公路精准定位视频监测方法与路网全里程一张图视频监测技术流程。实践表明既可以有效降低公路日常视频巡查人工成本,也可以提升日常巡查中交通事件的处置效率,缩短交通事件响应时间,适合大规模路网视频监测应用。
In response to the problem that traditional passive manual mode cannot fully utilize the monitoring ability of PTZ (Pan/Tilt/Zoom) cameras, this paper proposes a highway precise positioning and inspection system based on road network monitoring facilities, which quantitatively matches different preset positions of cameras with mileage stations, In order to achieve active spatiotemporal control based on mileage station number and time query conditions, a video monitoring method for precise positioning of highways and the technical process of one map video monitoring for the entire mileage of the road network can be achieved. Practice has shown that it can effectively reduce the labor cost of daily video inspections on highways, improve the efficiency of handling traffic incidents in daily inspections, shorten the response time of traffic incidents, and is suitable for large-scale road network video monitoring applications.
[1] | 章先阵, 吴超仲, 初秀民, 严新平. 基于机器视觉的公路交通设施信息采集系统设计[J]. 武汉理工大学学报(信息与管理工程版), 2004(5): 62-66. |
[2] | 杨春生, 江东, 肖文. 视频技术在公路车辆监测系统中的应用[J]. 中国测试技术, 2006(4): 124-125+138. |
[3] | 朴金旭. AI + 高速公路智慧视频监测系统[J]. 中国交通信息化, 2023(2): 97-100.
https://doi.org/10.13439/j.cnki.itsc.2023.02.011 |
[4] | 李国锋, 方正鹏, 龚柏岩. 带云台摄像机异常交通事件视频识别技术研究[J]. 公路交通科技(应用技术版), 2007(11): 168-169+173. |
[5] | 王为, 姚明海. 基于计算机视觉的智能交通监控系统[J]. 浙江工业大学学报, 2010, 38(5): 574-579. |
[6] | Liu, Y. and Jin, L. (2017) Deep Matching Prior Network: Toward Tighter Multi-Oriented Text Detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 21-26 July 2017, Honolulu, 1962-1969.
https://doi.org/10.1109/CVPR.2017.368 |