@inproceedings{37071dd481434b3a936443f7f82e08d3,
title = "A PointNet-Based Multi-platform Multi-target Data Association Algorithm",
abstract = "In this paper, a data association problem is investigated in which a multi-platform detecting multi-target scenario is considered. A PointNet-based data association algorithm for matching measurements and targets is proposed which can deal with the measurement noises, false alarms, missed detections due to environmental interference and limitations on sensor resolution, as well as unknown target motions. The constantly changing number of targets and measurements are also taken into account. First, the data preprocessing method is provided. Then, a PointNet-based data association algorithm is designed by which the data association probabilities between the real targets and the measurements are given. Then, the effectiveness and the accuracy of the proposed algorithm are proved by the test experiments.",
keywords = "Data association, Multi-platform, Multi-target, PointNet",
author = "Xuan Chu and Tianyu Zheng and Xinran Zhang and Fenghua He",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7\_236",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2823--2832",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
address = "德国",
}