Rapidly Exploring Gmapping

This paper presents an improved algorithm for the proposal distribution.The proposed algorithm enhances the range of filter values, the precision of re-sampling, and the accuracy of the map building.Additionally, the computational overhead is reduced, thereby optimizing the issue of the particle degeneration.The comparative experiments demonstrate that the proposed algorithm enhances the mapping precision and speed.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os3-6
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

Rapidly Exploring Gmapping

Chao Han, Miao Zhang
Proceedings of International Conference on Artificial Life and Robotics
Law, AI, and Intellectual Property
article

Rapidly Exploring Gmapping

Chao Han, Miao Zhang
article en

Abstract

This paper presents an improved algorithm for the proposal distribution.The proposed algorithm enhances the range of filter values, the precision of re-sampling, and the accuracy of the map building.Additionally, the computational overhead is reduced, thereby optimizing the issue of the particle degeneration.The comparative experiments demonstrate that the proposed algorithm enhances the mapping precision and speed.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Tianjin University of Science and Technology (CN)
Openalex Percentile: Top 72%
Law, AI, and Intellectual Property
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