Real-time automated deep learning based detection and tracking near highway-rail grade crossing for vulnerable road users safety

X Yang, JQ Li, YJ Zhan, W Yu - Intelligent Transportation Infrastructure - academic.oup.com
Abstract The vulnerable Road User (VRU) near highway-rail grade crossings (HRGCs)
comprises pedestrians, cyclists, and car users. The VRU trespassing violation behavior is …

Real-time automated deep learning based railroad trespassing violation detection and tracking at highway-rail grade crossing

X Yang, JQ Li, Y Zhan, W Yu - Intelligent Transportation …, 2024 - academic.oup.com
Trespassing is one of the utmost safety concerns at highway-rail grade crossings (HRGCs)
but many trespassing incidents have not been recorded and deeply studied since no …

A Deep Learning Approach for Automated Detection of Railroad Trespassers

X Yang, JQ Li, G Yang, W Liu, K Wang - … on Transportation and …, 2022 - ascelibrary.org
Trespassing along the railroad rights-of-way is the leading cause of rail-related deaths, with
more than 400 annual fatalities in the US. Detection of such events using video camera …

Artificial intelligence-aided railroad trespassing detection and data analytics: Methodology and a case study

Z Zhang, A Zaman, J Xu, X Liu - Accident Analysis & Prevention, 2022 - Elsevier
The railroad industry plays a principal role in the transportation infrastructure and economic
prosperity of the United States, and safety is of the utmost importance. Trespassing is the …

Intelligent Camera Aided Railway Emergency System (i-CARES)

Y Qian, Y Wang, DC Rizos - 2021 - rosap.ntl.bts.gov
The highway-railroad grade crossings are a hot spot in terms of vehicle-train collisions. The
unexpected crossing blockage not only brings traffic congestion but also raises serious …

Real-time obstacle detection over rails using deep convolutional neural network

Y Xu, C Gao, L Yuan, S Tang… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
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 …

Railroad near-miss occurrence detection and risk estimation system with data from camera using deep learning

A Dagvasumberel, B Myagmardulam… - … on Imaging, Signal …, 2021 - ieeexplore.ieee.org
An unsafe railway operation system has both direct and indirect societal consequences.
Railway accidents are a major safety and financial issue for the railroad industry. Estimating …

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 …

AI-Based Hazard Detection for Railway Crossings

D Espinoza, G Ali, C Tarawneh - ASME/IEEE Joint …, 2024 - asmedigitalcollection.asme.org
Grade crossings are critical elements of the railway infrastructure due to the potential risk of
vehicle collisions with trains. According to the National Highway Traffic Safety …

An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety

IV Pustokhina, DA Pustokhin, T Vaiyapuri, D Gupta… - Safety science, 2021 - Elsevier
Anomaly detection in pedestrian walkways is an important research topic, commonly used to
improve the safety of pedestrians. Due to the wide utilization of video surveillance systems …