一种无人机铁路巡线视频定位方法
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A Location Method for UAV Railway Patrol Video
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    摘要:

    为解决无人机铁路巡线视频空间绝对定位和铁路里程定位应用问题,利用无人机飞行过程中空间位置、姿态信息等数据以共线方程为理论基础构建巡线视频空间定位模型,以巡线视频空间定位模型为算法基础进行拓展,完成了视频铁路里程定位、三维场景与视频同步、两期视频同步算法。利用实际工程项目进行精度验证,其里程定位中误差为3.586 m,场景-视频同步中误差为4.23 m,两期视频同步中误差为3.67 m。该方法实现了巡线视频的地理信息编码,为铁路行业无人机视频精准化应用和多源数据融合应用提供了基础条件。

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    The research mainly aims to solve the application problems of UAV railway patrol video spatial absolute positioning and railway mileage positioning. Based on the collinear equation, the spatial positioning model of line patrol video is constructed by using the spatial position and attitude information of UAV during flight. Based on the line patrol video spatial positioning model, the algorithm is expanded, and the video railway mileage positioning, three-dimensional scene and video synchronization and two-phase video synchronization algorithms are completed. The accuracy is verified by the actual engineering project. The mean square error of mileage positioning is 3.586 m, the mean square error of scene video synchronization is 4.23 m, and the mean square error of two-phase video synchronization is 3.67 m. This method realizes the geographic information coding of line patrol video, and provides basic conditions for the accurate application of UAV video and multi-source data fusion application in the railway industry.

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王凯.一种无人机铁路巡线视频定位方法[J].科技与产业,2022,22(01):323-328

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  • 在线发布日期: 2022-01-27
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