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 was developed within the H2020 Shift2Rail project SMART (Smart Automation of Rail Transport) and aims at increasing the safety of rail transport by detecting obstacles on the rail tracks ahead of a moving train in order to reduce the number of collisions. The system hardware consists of cameras of different types integrated into a specially designed housing, mounted on the front of the train. Multiple vision sensors complement each other in order to handle different illumination and environmental conditions. The system software uses a novel machine learning-based method that is suited to a particular challenge of railway operations, the need for long-range obstacle detection and distance estimation. The development of this method used a long-range railway dataset, which was specifically generated for this project. Evaluation results of reliable obstacle detection in various environmental conditions using the SMART RGB camera in day light illumination conditions and using the SMART Night Vision sensor in poor (night) illumination conditions are presented. The results demonstrate both the potential of the on-board SMART obstacle detection system in the operational railway environment and the benefit of the use of different cameras to be more independent of light and environmental conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    SMART on-board multi-sensor obstacle detection system for improvement of rail transport safety




    Publication date :

    2022-07-01


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Reliable Obstacle Detection for SmartAutomation of Rail Transport

    Ristic-Durrant, Danijela / Haseen, Muhammad Abdul / Emami, Damon et al. | DataCite | 2018


    Rail obstacle detection device and rail vehicle

    CHEN XU / ZHAO ZHENDING / ZHANG CHUNYU et al. | European Patent Office | 2022

    Free access

    Urban rail train obstacle and derailment detection system

    CHEN YANHUA | European Patent Office | 2021

    Free access

    Rail operator smart safety system

    KIM SUNG SIK | European Patent Office | 2022

    Free access

    Rail vehicle obstacle detection device for rail transit construction

    LIU HONGYAN | European Patent Office | 2020

    Free access