This paper proposes a real-time fusion algorithm of Ultra-Wideband (UWB) and Inertial Measurement Unit (IMU) information based on the Error-State Kalman Filter (ESKF) algorithm, aiming to achieve high-precision train positioning throughout the entire railway, ...
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Light rail and streetcar rail transit present transit safety risks, specifically pedestrian/bicyclist and motor vehicle collisions. Operation of these systems, often within shared corridors, presents high
Global urbanization has made the urban rail transit system an essential service for a growing population. To help urban rail transit stations design optimal operational plans, previous
This work builds a spatiotemporal fusion network, Multi-graph Passenger Flow Evolution Trend (MGLTN), to precisely forecast urban rail transit''s short-term OD flow.
During the event, Huawei released the industry''s first railway optical communication network solution that supports the fine-grain OTN (fgOTN) standard. The goal is to ensure secure
The autonomous-rail rapid transit (ART) system utilizes advanced onboard sensors, automated control, and communication technologies to achieve automated vehicle operation to
As rail transit continues to develop, expanding railway networks increase the demand for sustainable energy supply and intelligent infrastructure management.
In response to these stringent requirements, this research proposes an Error-State Kalman Filter (ESKF) based real-time fusion train positioning system for urban rail transit, incorporating Ultra-Wideband
As a partner and trailblazer for our customers and suppliers, we develop the products and digital solutions necessary for enabling maximum reli-ability in passenger and freight transportation, an
In order to solve the problem of obstacle detection for rail transit scenarios, a recognition method of obstacle based on data fusion is proposed. First, the image data, which is obtained through a
The presence of obstacles on railway tracks poses a significant threat to the safety of train operations. In order to accurately obtain information about obstacles, we propose a novel obstacle detection
Digital twins, combined with Internet of Things (IoT) technologies, are revolutionising rail by enabling real-time monitoring and simulations. These innovations enhance
Real-Time UWB and IMU Fusion Positioning System for Urban Rail Transit with High Mobility Published in: 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
Railway news and in-depth analysis of the latest trends in train technology, high-speed rail, rail freight, passenger trends and new railway stations.
With the continuous evolution of communication technologies such as 5G/6G and the continuous development of artificial intelligence (AI), rail transit wireless communication systems
Intrusion along the railway perimeter poses a significant threat to railway operational safety. To enhance railway operation safety, this paper proposes an object-level fusion detection
Cloud-edge-end architectures, which combine cloud and edge computing technologies, provide a foundation for efficient data acquisition, processing, and inference in rail transit systems 3, 4.
The rail sector is entering a transformative era, driven by advancements in AI, digital twins and sustainable technologies These innovations are redefining
In this work, we propose a fusion model that combines both a targeted defect search and a context analysis, which is seen as a multimodal
– current state of global railway intelligent digital transformation, focusing on the characteristics and applications of intelligent digital transformation technology. It summarizes and analyzes relevant
This research offers a promising solution for real-time rail track detection, combining advanced technologies and data-driven optimization.
It also shows that the proposed vision-aided multi-sensor fusion method can be used as an alternative to the existing wayside-transponder-based localization system to provide navigation
Discover the future of light rail: trends, predictions, and expert insights on technology, sustainability, and urban integration.
In this paper, a LiDAR-camera-based fusion algorithm is proposed to improve the above-mentioned trade-off problems by constructing a Siamese network for object detection.
This study presents the design and validation of a closed-loop control platform for rail transit construction.
Download Citation | On Jun 28, 2022, Junyi Feng and others published Data Fusion-Based Obstacle Detection for Rail Transit Scenarios | Find, read and cite all the research you need on ResearchGate
Driven by the wave of rail transit development, a large number of advanced technologies and new equipment have been widely used, which has effectively promoted the high-quality
Autonomous-rail Rapid Transit (ART) possesses various advantages in intelligent transportation, but it does not effectively recognize road conditions caused solely by deploying single
As a promising solution, the 5th generation (5G) mobile communication provides more services for the future urban rail transit systems, and covers the shortages of exiting communication