A Survey of SLAM based on Submap Strategies
- DOI
- 10.2991/978-94-6463-512-6_15How to use a DOI?
- Keywords
- Robot; Simultaneous Localization and mapping; Sub-map Strategy; Cooperative exploration and Mapping; Perception
- Abstract
Simultaneous localization and mapping (SLAM) is a technology used to assess the state of robots and build maps. SLAM technology has made amazing progress in the past 30 years and has achieved large-scale real-world applications. It has been widely studied and applied in various industries, such as autonomous driving, the medical field, unmanned aerial vehicles, etc. With the wide application of SLAM technology, SLAM based on sub-map strategy has become a research direction that has attracted much attention. This paper first summarizes the submap-based SLAM technology and emphasizes the research purpose of submap application in SLAM technology. Then, this paper introduces the research status of SLAM based on the sub-map strategy. After that, the advantages and limitations of SLAM systems based on submap strategies are evaluated. Finally, the research results are summarized, the possible improvement direction in the future is suggested, and the practical application direction of the SLAM system based on the sub-map strategy is discussed.
- Copyright
- © 2024 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
TY - CONF AU - Han Yan PY - 2024 DA - 2024/09/23 TI - A Survey of SLAM based on Submap Strategies BT - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024) PB - Atlantis Press SP - 122 EP - 131 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-512-6_15 DO - 10.2991/978-94-6463-512-6_15 ID - Yan2024 ER -