@article{Zu2026, 
author = {Bowen Zu and Xiang Wang and Xuehua Zhou and Zhiguo Zhou},
title = {An Intelligent Collision Avoidance Algorithm for Unmanned Surface Vehicles Based on Deep Reinforcement Learning},
year = {2026},
journal = {Unmanned Systems},
volume = {14},
number = {2},
pages = {505-522},
keywords = {Unmanned surface vehicles, obstacle avoidance, deep reinforcement learning, artificial intelligence},
url = {https://www.sciopen.com/article/10.1142/S2301385026500135},
doi = {10.1142/S2301385026500135},
abstract = {To address the obstacle avoidance challenge for unmanned surface vehicles, this paper presents a novel intelligent algorithm based on deep reinforcement learning. The algorithm incorporates human demonstration experience data for quick convergence and efficient decision-making. It features an end-to-end framework for multi-sensor data processing and immediate action decisions. Both simulation and deployment experiments evidence the superiority of this algorithm.}
}