Indoor Mobile Robot Map Construction Based on Improved Cartographer Algorithm

Cartographer is a Simultaneous Localization and Mapping (SLAM) algorithm developed by Google, which supports a variety of sensors such as odometers, IMUs, LIDAR, GPS and so on, and it is one of the most widely used Laser SLAM algorithms at present. Aiming at the problem that wheeled odometers have accumulated errors in estimating the position of mobile robots, which leads to inaccurate map construction. The data from IMU and odometer are fused by Extended Kalman Filter (EKF) to improve the quality of map construction. Under the framework of Robot Operating System (ROS), the comparison experiments before and after fusion are conducted in a real scene to verify the effectiveness of the algorithm.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/wrcsara64167.2024.10685767
Citations
2
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
2.26

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article

Indoor Mobile Robot Map Construction Based on Improved Cartographer Algorithm

Mujun Xie, Wei Wang, Zhong Zheng, Changhong Jiang et al.
2 citations
Regional Development and Environment
2.26
article

Indoor Mobile Robot Map Construction Based on Improved Cartographer Algorithm

Mujun Xie, Wei Wang, Zhong Zheng, Changhong Jiang, Heyu Bian
article en
2 citations

Abstract

Cartographer is a Simultaneous Localization and Mapping (SLAM) algorithm developed by Google, which supports a variety of sensors such as odometers, IMUs, LIDAR, GPS and so on, and it is one of the most widely used Laser SLAM algorithms at present. Aiming at the problem that wheeled odometers have accumulated errors in estimating the position of mobile robots, which leads to inaccurate map construction. The data from IMU and odometer are fused by Extended Kalman Filter (EKF) to improve the quality of map construction. Under the framework of Robot Operating System (ROS), the comparison experiments before and after fusion are conducted in a real scene to verify the effectiveness of the algorithm.

Changchun University of Technology (CN)
Technology Development
Sustainable cities and communities
Openalex Percentile: Top 10%
Regional Development and Environment
2.26
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