无人机地保巡检系统中的影像数据处理方法研究
Research on Image Data Processing Method in UAV Subway Protection Inspection System
赵茹1
作者信息
- 1. 广州地铁设计研究院股份有限公司,广东 广州 510010
- 折叠
摘要
城市轨道交通沿线的地保违规事件具有突发性、难发现性等特征.传统的人工巡检方法成本高、速度慢、巡检频次低,且存在视野盲区,利用无人机平台进行地铁保护区巡检有望解决上述问题.文章主要论述了无人机地保巡检系统的影像数据预处理方法,包括坐标转换、图像纠正、图像拼接等,以及利用影像进行风险源识别的方法.实验数据证明,该方法相较于传统方法显著提升了识别准确率和巡检效率,降低了巡检成本,并在实际工程中得到了很好的应用.
Abstract
The subway protection violations along the urban rail transit lines are characterized by suddenness and difficulty in detection.The traditional manual inspection method has high cost,slow speed,low inspection frequency,and there are blind spots in the field of vision.The use of UAV platform for subway protection area inspection is expected to solve the above problems.This paper mainly discusses the image data preprocessing methods of UAV subway protection inspection system,including coordinate transformation,image correction,image stitching,etc.,and the method of risk source identification by using images.Experimental data show that this method significantly improves the recognition accuracy and inspection efficiency compared with the traditional method,reduces the inspection cost,and has been well applied in practical engineering.
关键词
无人机/地保巡检/影像数据/图像处理Key words
UAV/subway protection inspection/image data/image processing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据