Survey on Online Learning Applications in Multi-UAV Networks
This paper provides a comprehensive review of the application of online learning techniques in multi-UAV systems, highlighting their role in enhancing autonomy and efficiency in dynamic environments. Key areas of focus include adaptive path planning, collision avoidance, and swarm behavior control, along with the associated technical challenges and future research directions.
Authors
- Hyung Tae Lee (ORCID: https://orcid.org/0000-0002-0920-2026)
- Hyosu Kim (ORCID: https://orcid.org/0000-0001-5612-2988)
- Sungrae Cho (ORCID: https://orcid.org/0000-0003-1879-688X)
- Jeongyeup Paek (ORCID: https://orcid.org/0000-0001-5177-4936)
- Yongseok Son
- Jaemin Kim (ORCID: https://orcid.org/0000-0002-8613-5488)
Institutions
- Chung-Ang University (KR)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/ictc62082.2024.10827030
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation of Korea