同济大学学报（自然科学版）2024，Vol.52Issue(2)：174-183,10.DOI:10.11908/j.issn.0253-374x.23365
基于视频的轨道车辆自主定位方法研究
Vision-Based Absolute Position Extraction Method for Rail Vehicles
摘要
Abstract
Aiming at the demand of autonomous positioning of rail construction vehicles,this paper proposes a method of absolute position extraction of rail vehicles based on the video of 100-metre markers captured by the on-board forward-looking camera.The method first improves the YOLOX-s network and constructs the target detection model of the 100-metre marker to complete the target detection of the 100-metre marker.Then,when the 100-metre marker is detected,it combines image preprocessing with convolutional recurrent neural network(CRNN)network to construct the 100-metre marker digital text recognition model to extract the digital text information of the 100-metre marker,so as to achieve the absolute position location of rail construction vehicles.The method is verified to be able to quickly and accurately extract the absolute position information of rail construction vehicles.关键词
轨道车辆定位/机器视觉/目标检测/文本识别Key words
rail vehicle positioning/machine vision/target detection/text recognition分类
交通工程引用本文复制引用
沈拓,谢远翔,盛峰,谢兰欣,张颖,安雪晖,曾小清..基于视频的轨道车辆自主定位方法研究[J].同济大学学报（自然科学版）,2024,52(2):174-183,10.基金项目
国家重点研发计划(2022YFB4300501) （2022YFB4300501）
上海市科委课题(23DZ2204900) （23DZ2204900）
校企战略性合作专项高速铁路绿色智能施工关键技术研究(kh0160020230946、LQKY2022-01-1) （kh0160020230946、LQKY2022-01-1）
