@inproceedings{d3ebfbced3584e149edcb9ee7e2fdabf,
title = "Survey of Simulation Training Environments for Static Soaring",
abstract = "This paper reviews the Plume Model, Bubble Model, and Unsteady Thermal Model used in static soaring simulations，focusing on their historical development, simplification strategies, and application characteristics. Based on the analysis, this study proposes four directions for future research: (1) The development potential of simplified thermal models is gradually diminishing due to hardware constraints; (2) Reinforcement learning and advances in onboard computing enable model training in more realistic environments, supporting the use of more complex thermal models; (3) Meteorological research on thermal updrafts is increasingly aligning with UAV energy-harvesting simulations; (4) Integrating abstract models with realistic dynamics represents a promising direction in intelligent soaring strategies.",
keywords = "Bubble Model, Plume Model, Static Soaring, Unmanned Aerial Vehicle (UAV), Unsteady Thermal Model",
author = "Haobo Liu and Ke Li",
note = "Publisher Copyright: {\textcopyright} Beijing KeCui Man-Machine-Environment System Engineering Technology Research Academy 2026.; 25th International Conference on Man-Machine-Environment System Engineering, MMESE 2025 ; Conference date: 24-10-2025 Through 26-10-2025",
year = "2026",
doi = "10.1007/978-981-95-1908-8\_33",
language = "英语",
isbn = "9789819519071",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "261--268",
editor = "Shengzhao Long and Dhillon, \{Balbir S.\} and Long Ye",
booktitle = "Man-Machine-Environment System Engineering - Proceedings of the 25th Conference on MMESE",
address = "德国",
}