计量与测试技术2024,Vol.51Issue(2) :41-44.DOI:10.15988/j.cnki.1004-6941.2024.2.012

基于多分辨率地图位姿跳变优化的改进Cartographer 算法

Improved Cartographer Algorithm Based on Pose Jump Optimization of Multi-resolution Map

陈斌斌 盛志超 叶林 杨强强 方勇
计量与测试技术2024,Vol.51Issue(2) :41-44.DOI:10.15988/j.cnki.1004-6941.2024.2.012

基于多分辨率地图位姿跳变优化的改进Cartographer 算法

Improved Cartographer Algorithm Based on Pose Jump Optimization of Multi-resolution Map

陈斌斌 1盛志超 1叶林 2杨强强 1方勇1
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作者信息

  • 1. 上海大学通信与信息工程学院
  • 2. 上海映驰科技有限公司
  • 折叠

摘要

针对Cartographer算法在局部扫描匹配中,存在匹配精度低、位姿跳变影响回环检测的问题,提出一种基于多分辨率地图位姿跳变优化的改进Cartographer算法.首先,在局部优化中,建立多分辨率栅格地图,提高初始位姿的估计精度;然后,在回环检测和全局优化之间,建立位姿跳变检测机制,通过减少突变节点数量,提高回环检测的可靠性;最后,通过数据集中,对改进算法进行验证.结果表明:该算法能有效提高定位精度和建图效果.

Abstract

To solve the problems of Cartographer algorithm in local scan matching,such as low matching accuracy and pose hop affecting loop detection,an improved Cartographer algorithm based on multi-resolution map pose hop optimization was proposed.Firstly,in local optimization,a multi-resolution raster map is established to improve the estimation accuracy of the initial pose.Then,between loop detection and global optimization,the pose jump detection mechanism is established to improve the reliability of loop detection by reducing the number of mutation nodes.Finally,through the data set,the improved algorithm is verified.The results show that this algorithm can ef-fectively improve the positioning accuracy and the effect of map construction.

关键词

同步定位与地图构建/Cartographer算法/点云匹配/回环检测

Key words

simultaneous localization and mapping/Cartographer algorithm/point cloud matching/loop closure

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基金项目

国家自然科学基金(61901254)

出版年

2024
计量与测试技术
成都市计量监督检定测试所

计量与测试技术

影响因子:0.175
ISSN:1004-6941
参考文献量9
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