Vision-Based Absolute Position Extraction Method for Rail Vehicles

Abstract:

Aiming at the demand of autonomous positioning of rail construction vehicles， this paper proposes a method of absolute position extraction of rail vehicles based on the video of 100-metre markers captured by the on-board forward-looking camera. The method first improves the YOLOX-s network and constructs the target detection model of the 100-metre marker to complete the target detection of the 100-metre marker. Then， when the 100-metre marker is detected， it combines image preprocessing with convolutional recurrent neural network （CRNN） network to construct the 100-metre marker digital text recognition model to extract the digital text information of the 100-metre marker， so as to achieve the absolute position location of rail construction vehicles. The method is verified to be able to quickly and accurately extract the absolute position information of rail construction vehicles.