Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Research on UAV Positioning and Control Based on SLAM Approach

Authors
Yu Li1, Zhiang Sun2, *
1School of Integrated Circuit Science and Engineering, Tianjin University of Technology, 300382, Tianjin, China
2Happy Garden Community, Lutai Town, Ninghe District, 301500, Tianjin, China
*Corresponding author. Email: sunzhiang676@gmail.com
Corresponding Author
Zhiang Sun
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_18How to use a DOI?
Keywords
SLAM Technology; ROS Architecture; PX4 Technology; HIGH Stability and Precision
Abstract

Drones have gradually become an essential aerial vehicle in contemporary human life, so finding a suitable control method has become a research direction for scientists. Simultaneous Localisation and Map Building (SLAM) technology is considered to be a big hit technology in the future drone control field, which is characterised by high accuracy, high robustness and high stability. In this paper, for the key technology of drone control, obstacle avoidance and navigation system, SLAM is combined with PX4 to achieve obstacle avoidance and the Robot Operating System (ROS) system is used for navigation. Obstacle avoidance and navigation systems are the two most critical technologies in drone control methods, and researchers have set up two sets of specialised systems to realise autonomous control of the drone. SLAM technology can enable drone to achieve highly efficient and intelligent navigation and obstacle avoidance, but whether the technology can maintain its own stability under long-time working conditions and whether the cost of LIDAR is too high are still issues that need to be continuously researched and solved. However, whether the technology can maintain its stability under long-time working condition and the cost of LIDAR still need to be studied and solved.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yu Li
AU  - Zhiang Sun
PY  - 2025
DA  - 2025/08/31
TI  - Research on UAV Positioning and Control Based on SLAM Approach
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 153
EP  - 161
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_18
DO  - 10.2991/978-94-6463-821-9_18
ID  - Li2025
ER  -