| Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
|---|---|---|
| Article Number | 05054 | |
| Number of page(s) | 11 | |
| Section | Sustainable Transport and Green Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202338905054 | |
| Published online | 31 May 2023 | |
The method of building 3D map by the reconfigurable computing environment for unmanned aerial vehicles, drones
1 Tomsk State University, 36 Lenin Ave., 634050 Tomsk, Russia
2 Vietnam Maritime University, 181810 Hai Phong, Viet Nam
* Corresponding author: trangnht@vimaru.edu.vn
Unmanned aerial vehicle (UAV) is a flying device that is integrated with appropriate hardware and software, besides it is also a device to collect and process data to meet the needs and purposes of users. Currently, most drones use GPS technology to determine the flight path, and other sensors on it are used to determine distance, avoid collisions. However, with small, narrow spaces, dangerous environments that humans cannot go into that space, GPS not working, small drones with small hardware devices placed on it to map themselves and navigation would be a suitable solution. In this paper, a method to build a high-performance reconfigurable computing environment model to map drone as well as UAV flying in 3D space is proposed. Mapping based on Boolean formulas with reconfigurable structure and adjustable automatons will generate high-precision maps for efficient robot navigation.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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