2D LIDAR SLAM Localization System for a Mobile Robotic Platform in GPS Denied Environment

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Purpose
Agricultural mobile robots using Global Navigation Satellite System (GNSS)–based signal for navigation can be easily occluded and the position and attitude errors calculated by inertial navigation sensor (INS) will accumulate over time, which will seriously affect functions like localization and navigation.
Method
Therefore, based on the above shortcomings, this research uses 2D LIDAR (two-dimensional, Light Detection and Ranging) SLAM (Simultaneous Localization and Mapping) as the scheme for the outdoor positioning of the mobile robot. The Cartographer SLAM algorithm was selected in this study and was operated under the ROS (Robot Operating System) platform.
Results
After a series of comparative experiments, it can be concluded that the positioning accuracy at the normal speed of 1.5 km/h is about 0.2–0.3 m considering the error of human manipulation and the accuracy of attitude around 3–4 degrees.
Conclusion
This 2D LIDAR-based localization framework helps for developing an autonomous navigation system for the static agricultural environment that can be operated under GNSS denied environment.

Details

Original languageEnglish
Number of pages13
JournalJournal of Biosystems Engineering
Volume48
Issue number2
Publication statusPublished - 29 Mar 2023
Peer-reviewedYes

External IDs

unpaywall 10.1007/s42853-023-00176-y
Scopus 85151362218

Keywords

Keywords

  • 2D LIDAR SLAM, Cartographer SLAM, Mobile robots, Robot localization

Library keywords