A review of vision-based on-board obstacle detection and distance estimation in railways

D Ristić-Durrant, M Franke, K Michels - Sensors, 2021 - mdpi.com
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 …

Railway intrusion detection based on machine vision: A survey, challenges, and perspectives

Z Cao, Y Qin, L Jia, Z Xie, Y Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Railway intrusion seriously threatens railway safety and can cause enormous loss of life and
property. Therefore, railway intrusion detection is crucial for the safety of railway operation …

A lightweight framework for obstacle detection in the railway image based on fast region proposal and improved YOLO-tiny network

L Guan, L Jia, Z Xie, C Yin - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The operation of trains is substantially jeopardized by the presence of railway obstacles.
Recent research on vision-based railway obstacle detectors has emphasized using sizeable …

[HTML][HTML] A survey on multi-sensor fusion perimeter intrusion detection in high-speed railways

T Shi, P Guo, R Wang, Z Ma, W Zhang, W Li, H Fu… - Sensors, 2024 - mdpi.com
In recent years, the safety issues of high-speed railways have remained severe. The
intrusion of personnel or obstacles into the perimeter has often occurred in the past, causing …

A comparative assessment of deep neural network models for detecting obstacles in the real time aerial railway track images

RS Rampriya, R Suganya, S Nathan… - Applied Artificial …, 2022 - Taylor & Francis
Obstacles on the railway track leading to derailment accidents that cause significant
damages to the railway in terms of killed and injuries over the years. Count of accident is …

Train-to-Edge Cooperative Intelligence for Obstacle Intrusion Detection in Rail Transit

T Gong, L Zhu, FR Yu, T Tang - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
The state of the rail track and its surrounding environment have a significant impact on train
operation. The presence of any unusual obstacles on the rail track can pose a serious safety …

Artificial intelligence-aided intelligent obstacle and trespasser detection based on locomotive-mounted forward-facing camera data

H Qin, A Zaman, X Liu - … Engineers, Part F: Journal of Rail …, 2023 - journals.sagepub.com
Most fatalities in the railroad industry are trespasser deaths. Additional obstacles such as
fallen trees, construction materials, and other debris also pose a danger to railroad …

Bounding box dataset augmentation for long-range object distance estimation

M Franke, V Gopinath, C Reddy… - Proceedings of the …, 2021 - openaccess.thecvf.com
Autonomous long-range obstacle detection and distance estimation plays an important role
in numerous applications such as railway applications when it comes to locomotive drivers …

Use cases for obstacle detection and track intrusion detection systems in the context of new generation of railway traffic management systems

P Hyde, C Ulianov, J Liu, M Banic… - Proceedings of the …, 2022 - journals.sagepub.com
In this paper, the concept of Obstacle Detection and Track Intrusion Detection (OD&TID)
systems related to the operation of trains is introduced, along with a potential concept for …

High-precision low-cost gimballing platform for long-range railway obstacle detection

EH Assaf, C von Einem, C Cadena, R Siegwart… - Sensors, 2022 - mdpi.com
Increasing demand for rail transportation results in denser and more high-speed usage of
the existing railway network, making new and more advanced vehicle safety systems …