Train Ego-Path Detection on Railway Tracks Using End-to-End Deep Learning

arXiv:2403.13094v1 Announce Type: new
Abstract: This paper introduces the task of "train ego-path detection", a refined approach to railway track detection designed for intelligent onboard vision systems. Whereas existing research lacks precision and often considers all tracks within the visual field uniformly, our proposed task specifically aims to identify the train's immediate path, or "ego-path", within potentially complex and dynamic railway environments. Building on this, we extend the RailSem19 dataset with ego-path annotations, facilitating further research in this direction. At …

abstract arxiv cs.cv deep learning detection eess.iv identify intelligent paper path precision railway research systems train type vision visual