| Issue |
E3S Web Conf.
Volume 541, 2024
VI International Scientific Forum on Computer and Energy Sciences (WFCES 2024)
|
|
|---|---|---|
| Article Number | 05004 | |
| Number of page(s) | 10 | |
| Section | Geological and Structural Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202454105004 | |
| Published online | 18 June 2024 | |
A comprehensive survey of advanced SLAM techniques
1 Dept. of Electrical and Inf. Eng., Polytechnic University of Bari, 70125 Bari, Italy
2 Dept. of Digital Technology and Cybersecurity, Astrakhan State University, 414056 Astrakhan, Russia
* Corresponding author: svishchev.nikolai@gmail.com
In robot navigation, precise knowledge of the robot’s position and orientation is essential for accurate trajectory tracking, obstacle avoidance, and goal attainment, especially in scenarios where human supervision is limited or absent. This paper describes the different established methods in simultaneous localization and mapping (SLAM) algorithms, such as the most advanced SLAM techniques for extreme environmental conditions, including dynamic objects, illumination and brightness variability. Namely, visual information received from cameras is less susceptible to radio interference and does not depend on any additional device, such as GPS and satellite signals. The SLAM community’s main approaches to solving these problems are introduced. Finally, we consider current research in the field of visual odometry (VO), as well as its practical implementation in robotics.
© The Authors, published by EDP Sciences, 2024
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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