Underground Robot Localization Based on Ground-Penetrating Radar

被引:1
作者
Zhang, Kaisong [1 ]
Chi, Yucan [1 ]
Guo, Jifeng [1 ]
Bai, Chengchao [1 ]
机构
[1] Harbin Inst Technol, Harbin 150000, Heilongjiang, Peoples R China
来源
PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022 | 2023年 / 1010卷
关键词
Underground robot positioning; Ground penetrating radar; Adaptive particle filter;
D O I
10.1007/978-981-99-0479-2_330
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the localization problem in long-term and large-scale scenes in the lunar subsurface denial environment, this paper proposes an underground robot localization method combining global localization and precise local localization. In the local positioning, the ground penetrating radar is used to accurately locate the robot underground to correct the errors generated in the global positioning and ensure that the positioning of the underground robot does not diverge in a long-term, large-scale environment. Through simulation experiments, it can be found that the above method is relatively stable, can effectively reduce the positioning error of the robot, and improve the robot's ability to perceive the position and attitude in the lunar underground environment.
引用
收藏
页码:3577 / 3588
页数:12
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