铁道货运2024,Vol.42Issue(10) :77-82.DOI:10.16669/j.cnki.issn.1004-2024.2024.10.10

基于三维视觉重构的铁路限界侵限高速检测系统设计研究

Design of High Speed Detection System for Objects Intruding Railway Clearance Based on 3D Visual Reconstruction

李天宇 王光为
铁道货运2024,Vol.42Issue(10) :77-82.DOI:10.16669/j.cnki.issn.1004-2024.2024.10.10

基于三维视觉重构的铁路限界侵限高速检测系统设计研究

Design of High Speed Detection System for Objects Intruding Railway Clearance Based on 3D Visual Reconstruction

李天宇 1王光为1
扫码查看

作者信息

  • 1. 中国铁路郑州局集团有限公司 科学技术研究所,河南 郑州 450007
  • 折叠

摘要

为解决列车在运行过程中可能遇到的边坡垮塌、碎石滑落、周界树枝侵入轨道及漂浮物侵入铁路线路等安全隐患,研究提出一种基于三维视觉重构技术的铁路限界侵限高速检测系统设计方案.由3D相机实现行车周界场景的三维点云数据采集,研制基于GPU+FPGA核心驱动的强实时嵌入式控制处理系统,满足远距离大跨域下铁路行车周界海量数据采集和处理.通过集成先进的三维数字点云几何测量和数字场景重构算法,能够对铁路沿线的关键目标进行精确几何测距,实时侵限预警,并提供实景化分析识别,以确保列车在各种环境下的安全运行.

Abstract

In order to solve the problems of trains being prone to slope collapses,debris,perimeter branches,and floating objects intruding the boundary,a high speed detection system design scheme for objects intruding railway clearance based on three-dimensional(3D)visual reconstruction was proposed.A 3D camera was used to collect 3D point cloud data of the perimeter scene during operation,and a strong real-time embedded control processing system based on a GPU+FPGA core driver was developed.This system met the needs of massive data collection and processing for railway perimeter during operation under long-distance and large-scale cross-domain conditions.It integrated advanced geometric measurement of 3D digital point cloud and digital scene reconstruction algorithm to achieve accurate geometric ranging of key targets along the railway,real-time warnings of objects intruding railway clearance,and scene analysis and identification,so as to ensure safe train operation in different environments.

关键词

铁路/检测系统/限界侵限/三维点云/场景重构

Key words

Railway/Detection System/Objects Intruding Railway Clearance/3D Point Cloud/Scene Reconstruction

引用本文复制引用

基金项目

中国国家铁路集团有限公司科技研究开发计划课题(N2023X038)

中国铁路郑州局集团有限公司科技研究开发计划课题(2024HY04)

出版年

2024
铁道货运
中国铁道科学研究院

铁道货运

影响因子:0.776
ISSN:1004-2024
参考文献量8
段落导航相关论文