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基于改进pix2pix的高速公路光栅阵列车辆轨迹修正方法研究

刘福 马苗 岳丽娜 李盛 刘芳

传感技术学报2025,Vol.38Issue(12):2174-2181,8.
传感技术学报2025,Vol.38Issue(12):2174-2181,8.DOI:10.3969/j.issn.1004-1699.2025.12.010

基于改进pix2pix的高速公路光栅阵列车辆轨迹修正方法研究

Research on Highway Vehicle Trajectory Correction Method Using Improved pix2pix Based on UWFBG Array

刘福 1马苗 1岳丽娜 2李盛 2刘芳1

作者信息

  • 1. 武汉理工大学光纤传感技术与网络国家工程研究中心,湖北 武汉 430070||武汉理工大学信息工程学院,湖北 武汉 430070
  • 2. 武汉理工大学光纤传感技术与网络国家工程研究中心,湖北 武汉 430070
  • 折叠

摘要

Abstract

Ultraweak fiber Bragg grating(UWFBG)array sensor networks enable all-time,all-domain,and all-weather monitoring of vehi-cles on highways.The vehicle trajectory information based on UWFBG array serves as an essential dataset for intelligent transportation systems(ITS),as it reflects the spatiotemporal evolution characteristics of vehicles and plays a crucial role in traffic flow analysis,ca-pacity evaluation,and accident risk prevention.However,in practical highway applications,the acquired trajectory data are often affected by complex environmental noise,leading to errors and deviations.An end-to-end trajectory correction framework based on an improved pix2pix model is proposed.By introducing an attention mechanism and semantic loss,the framework achieves accurate correction of er-roneous trajectories.Experimental results demonstrate that the improved pix2pix model achieves better performance metrics,exhibits strong robustness and generalization,and thus provides a novel technical solution to enhance the accuracy of highway vehicle monitoring.

关键词

超弱光纤布拉格光栅阵列/高速公路车辆监测/车辆轨迹/轨迹修正

Key words

UWFBG array/highway vehicle monitoring/vehicle trajectory/trajectory correction

分类

信息技术与安全科学

引用本文复制引用

刘福,马苗,岳丽娜,李盛,刘芳..基于改进pix2pix的高速公路光栅阵列车辆轨迹修正方法研究[J].传感技术学报,2025,38(12):2174-2181,8.

基金项目

国家重点研发计划项目(2024YFF0508401) (2024YFF0508401)

2023年湖北省重大攻关项目(JD)(2023BAA017) (JD)

传感技术学报

OA北大核心

1004-1699

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