Research on A New Railway Cross Measurement Method Based on the Fusion of UAV Laser Point Cloud and Image.

Cross measurement is an important foundational work for special surveying and survey of newly built railways. The existing cross measurement is mainly completed through manual field measurement methods such as angle shifting, polar coordinate method, and GNSS-RTK method, which has problems such as low operational efficiency, multiple rework measurements, and high safety hazards. Aiming at this technical problem, this paper proposed a new railway crossing survey method based on UAV laser point cloud and image fusion, including key technologies such as data acquisition and pre-processing of railway band UAV aerial photography, sorting of design line positions and determination of cross measurement positions, and extraction of cross measurement information. The purpose is to complete the cross measurement work of the newly built railway through non-contact means. The results show that, compared to traditional operation methods, this method avoids difficulties in entering complex areas, significant safety hazards, and inconvenient installation of conventional measuring instruments. The efficiency can be improved significantly in terms of the flexibility and safety of measurement field operations. Based on the fusion processing technology of drone laser point cloud and image, the characteristics of high density, high accuracy, rich image texture, and high visualization degree of drone laser point cloud are fully utilized, laying a good foundation for determining the cross measurement position and extracting information. The method for calculating cross measurement parameters can improve the accuracy and reliability of cross measurement, and can also provide reference for the research of other types of cross, cross measurement, or other technical means. [ABSTRACT FROM AUTHOR]