北京测绘2024，Vol.38Issue(5)：773-779,7.DOI:10.19580/j.cnki.1007-3000.2024.05.022
基于众源数据的自动化制图方法
An automated mapping method based on crowdsourced data
刘银 1伍伟绩 1王闯 1肖慧 1张京川1
作者信息
- 1. 河北全道科技有限公司北京分公司,北京 100102
- 折叠
摘要
Abstract
Traditional high-precision map production faces limited collection and mapping methods of professional surveying and mapping vehicles,resulting in high production costs,long cycles,and untimely updates of high-precision maps.To address these issues,this paper proposed a method for automated mapping based on crowdsourced vehicles.The environmental perception results and inertial navigation system(INS)/global navigation satellite system(GNSS)integrated navigation data of the vehicle were transmitted back,so as to complete the three-dimensional(3D)data reconstruction,vector topology construction,and result quality inspection and release in the cloud,thus achieving automated mapping.A 300 km multi-scenario road section in a certain area was selected for verification.The results show that the technical method designed in this paper can solve the problems of high-precision map freshness and update cost,meet the requirements of quickly updating intelligent driving maps,and provide map data support for the actual application of intelligent driving.关键词
智能驾驶/自动化制图/众源数据/三维数据重建/矢量拓扑构建Key words
intelligent driving/automated mapping/crowdsourced data/three-dimensional(3D)/data reconstruction/vector topology construction分类
天文与地球科学引用本文复制引用
刘银,伍伟绩,王闯,肖慧,张京川..基于众源数据的自动化制图方法[J].北京测绘,2024,38(5):773-779,7.
