Variable Action Set-Based Monte Carlo Tree Search Algorithm for AAV Autonomous Collision Avoidance

Autonomous collision avoidance of Autonomous Aerial Vehicles (AAVs) is becoming a hot research topic in Urban Air Mobility (UAM) operations. Many studies modeled this problem as a Markov decision process (MDP) and adopted intelligent methods such as reinforcement learning and Monte Carlo Tree Search...

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Bibliographic Details

Published in:	IEEE access Vol. 13; pp. 43861 - 43877
Main Authors:	Xu, Fulong, Li, Bo
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	AAV Aircraft Atmospheric modeling Autonomous aerial vehicles Autonomous collision avoidance Classification algorithms Collision avoidance Energy efficiency Markov decision process Monte Carlo methods Monte Carlo tree search Real-time systems Trajectory Turning variable action set
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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