Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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Advancement in Neural Radiance Fields Propulsion for SLAM: A Novel Upgrade

Authors
Ruotong Sun1, *, Jiachen Lu2, Yankun Chen3
1Mechanical Engineering Institute, Xi’an Jiaotong University, Xi’an, 710049, China
2CQU-UC Joint Co-op Institute, Chongqing University, Chongqing, 400044, China
3Artificial Intelligence Institute, Jianghan University, Wuhan, 430056, China
*Corresponding author. Email: srt040416@stu.xjtu.edu.cn
Corresponding Author
Ruotong Sun
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_16How to use a DOI?
Keywords
SLAM; NeRF; Robotics
Abstract

In recent years, simultaneous localization and mapping (SLAM) techniques have seen continual improvement. Meanwhile, the development of Neural Radiance Fields (NeRF) has surged, demonstrating significant advantages in the mapping process at the backend of SLAM. Researchers are increasingly exploring new approaches integrating NeRF deeply into SLAM technology, propelling SLAM towards greater intelligence and efficiency. Compared to traditional SLAM methods, NeRF-based SLAM offers numerous advantages, albeit facing several challenges. This paper reviews the development of NeRF technology and analyzes representative NeRF-based SLAM methods. Through comparison and analysis, it summarizes the strengths and weaknesses of NeRF-based SLAM methods, and anticipates the future directions and application prospects of NeRF technology in the SLAM field, highlighting research directions such as real-time improvement, performance optimization, and interdisciplinary integration. This paper aims to provide researchers with insights into NeRF-based SLAM technology, fostering further research and application in this field.

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.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_16How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Ruotong Sun
AU  - Jiachen Lu
AU  - Yankun Chen
PY  - 2024
DA  - 2024/09/23
TI  - Advancement in Neural Radiance Fields Propulsion for SLAM: A Novel Upgrade
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 132
EP  - 142
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_16
DO  - 10.2991/978-94-6463-512-6_16
ID  - Sun2024
ER  -