High-precision optoelectronic fusion for rail transit applications

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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, particularly in tunnel. Moreover, accurate localization paves the way for a variety of advanced key applications such as Automated Train Operation (ATO), making it a prereq npoint posi-tioning at all times. Three core improvements were integrated: 1) AVCStem module with variable convolution kernels to dynamically adapt to defects of different shapes and scales; 2) ADSPPF module using multi-scale pooling and multi-branch attention mechanisms to preserve fine-grained features across scales; 3) MSF.

HIGH-PRECISION TRAIN LOCALIZATION

New on-board localization methods using high precision satellite navigation, advanced sensors and sensor fu-sion technology provide accurate real-time information on the position and speed of any

The nexus of intelligent transportation: A lightweight Bi-input fusion

Request PDF | On Jan 1, 2025, Hongjie Tang and others published The nexus of intelligent transportation: A lightweight Bi-input fusion detection model for autonomous-rail rapid transit | Find

Artificial-intelligent-powered safety and efficiency improvement for

This improvement elevates the efficiency and precision of regional rail transit capacity matching, expanding the scope of network control and optimizing decision-making.

RAE3D: Multiscale Aggregation-Enhanced 3D Object Detection for Rail

Point cloud-based 3D object detection technology provides precise information for detecting obstacles in front of trains. In rail transit scenarios, obstacles are usually located at a distance, and the sparsity of

Artificial intelligence in rail transit wireless communication systems

In the rail transit wireless communication scenario, resource management faces multiple challenges, including limited resource availability, high system complexity, and growing application

A Lightweight Camera and Lidar Fusion Framework for Railway Transit

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.

High-precision urban rail map construction based on multi-sensor fusion

However, the repetitive features and sparse textures in urban rail environments pose challenges for map construction with high-precision. Motivated by this, this paper proposes a high-precision urban rail

Information fusion early warning of rail transit signal operation and

Abstract In order to improve the information fusion and early warning of rail transit signal operation and maintenance, this paper proposes a method based on big data of Internet of Things.

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