Improvement of the method for detecting obstacles in front of moving trains and development of its algorithm

Abstract

This article introduces a LiDAR-based system for detecting obstacles in front of moving trains with the aim of improving railway traffic safety. The system integrates an optimized operating algorithm supported by 2D and 3D visual representations of the detection process. LiDAR technology enables accurate and rapid obstacle recognition under various operational conditions, thereby enhancing reliability in real-time railway monitoring. The proposed approach is validated through scientifically grounded methods and experimental evaluation. The results demonstrate that the LiDAR-based system provides an effective framework for modernizing and automating safety processes in railway environments.