In this paper an AI-based system for detection and distance estimation of obstacles on rail
tracks ahead of a moving train is presented, as developed within the H2020 Shift2Rail …

This paper presents an on-board multi-sensor system which is able to detect obstacles and
estimate their distances in railway scenes in different illumination conditions. The system …

This paper presents the two sub-systems of the first holistic system for autonomous obstacle
detection (OD) in railways, the on-board vision system and unmanned aerial vehicle (UAV) …

The paper proposes an approach to the development of obstacle detection systems on
railway tracks for yard locomotives. The proposed approach is illustrated by full-stack …

Increasing demand for faster transportation has resulted in a rapid growth of rail track
networks countrywide. The irregularities of properly monitoring rail tracks have been often …

This paper presents a novel method for generation of synthetic images of obstacles on and
near rail tracks over long-range distances. The main goal is to augment the dataset for …

In vision-based environment perceptive system of urban rail transit, cameras installed in the
front of the train can assist people to identify obstacles on rails. Varying environment makes …

The automatic inspection of railways for the detection of obstacles is a fundamental activity
in order to guarantee the safety of the train transport. Therefore, in this paper, we propose a …

The detection of obstacles at rail level crossings (RLC) is an important task for ensuring the
safety of train traffic. Traffic control systems require reliable sensors for determining the state …

This paper provides a review of the literature on vision-based on-board obstacle detection
and distance estimation in railways. Environment perception is crucial for autonomous …