@inproceedings{31a62bea84fe4ab3bfb48b0a4c4dd262,
title = "Cooperative target searching and tracking via UCT with probability distribution model",
abstract = "As Unmanned Aerial Vehicle's (UAV) battery life and stability develop, multiple UAVs are having more and more applications in the uninterrupted patrol and security. Thus UAV's searching, tracking and trajectory planning become important issues. This paper proposes an online distributed algorithm used in UAV's tracking and searching, with the consideration of UAV's practical need to recharge under limited power. We propose a Quantum Probability Model to describe the partially observable target positions, and we use Upper Confidence Tree (UCT) algorithm to find out the best searching and tracking route based on this model. We also introduce the Teammate Learning Model to handle the nonstationary problems in distributed reinforcement learning.",
keywords = "Quantum Probability Distribution, UAV Tracking, UCT Planning",
author = "Ruoxi Qin and Tian Wang and Haotian Jiang and Qianhong Yan and Weikang Wang and Hichem Snoussi",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Digital Signal Processing, DSP 2016 ; Conference date: 16-10-2016 Through 18-10-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/ICDSP.2016.7868620",
language = "英语",
series = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "560--564",
booktitle = "Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016",
address = "美国",
}