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 …

DefGAN: Defect detection GANs with latent space pitting for high-speed railway insulator

D Zhang, S Gao, L Yu, G Kang, X Wei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As a key component of the high-speed railway catenary, the insulator plays an important role
in supporting the catenary and maintaining the insulation between the catenary and earth …

Machine learning in urban rail transit systems: a survey

L Zhu, C Chen, H Wang, FR Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

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

D Ristić-Durrant, MA Haseeb, M Banić… - Proceedings of the …, 2022 - journals.sagepub.com
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 …

Distance estimation from a monocular camera using face and body features

S Duman, A Elewi, Z Yetgin - Arabian Journal for Science and Engineering, 2022 - Springer
The distance estimation of objects from a single camera can play a crucial role in many real-
life applications, such as mobile robot navigation, autonomous vehicles and camera-based …

Machine-learning-based ensemble regression for vehicle-to-vehicle distance estimation using a toe-in style stereo camera

O Duran, B Turan, M Kaya - Measurement, 2025 - Elsevier
Adjusting the following distance from the front vehicle in highway traffic is important to
reduce the risk of collision. Distance estimation is an important research area for advanced …

AI powered obstacle distance estimation for onboard autonomous train operation

M Pavlović, M Banić, M Simonović, V Nikolić - Tehnički vjesnik, 2022 - hrcak.srce.hr
Sažetak This paper proposes a novel method for an AI powered improvement of the
estimation of a distance between the camera and an imaged object using image-plane …

Perspective-2-point solution in the problem of indirectly measuring the distance to a wagon

IA Kudinov, IS Kholopov - 2020 9th Mediterranean Conference …, 2020 - ieeexplore.ieee.org
The article considers an algorithm for solving the problem of indirectly measuring the
distance to a wagon by reducing it to solving the Perspective-2-Point problem. It is shown …

LIV-DeepSORT: optimized DeepSORT for multiple object tracking in autonomous vehicles using camera and LiDAR data fusion

ZAT Rakotoniaina, NE Chelbi, D Gingras… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Object detection and tracking play a crucial role in the perception systems of autonomous
vehicles. Simple Online Real-Time (SORT) techniques, such as DeepSORT, have proven to …

Monocular visual odometry for underground railway scenarios

M Etxeberria-Garcia, M Labayen… - … on Quality Control …, 2021 - spiedigitallibrary.org
In this paper, the application of monocular Visual Odometry (VO) solutions for underground
train stopping operation are explored. In order to analyze if the application of monocular VO …