In an article published in Remote Sensing, researchers presented a point cloud reconstruction approach for a mobile laser scanning technique based on trajectory filtering. The authors employed deep learning to identify railway feature recognition points, and Rauch-Tung-Striebel (RTS) filtering to enhance the trajectory outcomes and correct the odometer data. The maximum discrepancy between the east and north coordinates was adjusted to within 7 cm when integrated with the railway experimental track data. In comparison, the average elevation error was observed to be 2.39 cm. The proposed multi-sensor mobile laser scanning system was crucial to the healthy growth of the railway system.
