An LSTM-based Target Tracking Method for High-mobility UAV under Incomplete Information Conditions

Li Liu, An Zhang, Wenhao Bi, Zhanjun Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the case of an Unmanned Aerial Vehicle (UAV) with high mobility and incomplete observation information, existing tracking methods for the UAV target tracking problem show insufficient robustness and accuracy. In this paper, a long short-Term memory(LSTM)-based target tracking method is proposed, based on the addition of incomplete information and observation misalignment judgment method to the structure of the filter, using convolutional layers to extract the trajectory sequence features, and combining with the trajectory sequence features, the LSTM is used to output the results of the compensation of the motion model under the incomplete observation information. The experimental results show that the proposed method improves the robustness and accuracy of UAV target tracking compared to comparing models.

源语言英语
主期刊名Proceedings - 2024 IEEE 1st International Workshop on Future Intelligent Technologies for Young Researchers, FITYR 2024
出版商Institute of Electrical and Electronics Engineers Inc.
11-16
页数6
ISBN(电子版)9798331539757
DOI
出版状态已出版 - 2024
活动1st IEEE International Workshop on Future Intelligent Technologies for Young Researchers, FITYR 2024 - Shanghai, 中国
期限: 16 7月 202418 7月 2024

出版系列

姓名Proceedings - 2024 IEEE 1st International Workshop on Future Intelligent Technologies for Young Researchers, FITYR 2024

会议

会议1st IEEE International Workshop on Future Intelligent Technologies for Young Researchers, FITYR 2024
国家/地区中国
Shanghai
时期16/07/2418/07/24

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