PLA-JPDA for Indoor Multi-Person Tracking Using IR-UWB Radars
Author:
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9266310/9266311/09266407.pdf?arnumber=9266407
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cauchy–Schwarz Divergence-Based Set Joint Probabilistic Data Association Filter for Tracking Multiple Objects in Cluttered Environment;IEEE Transactions on Geoscience and Remote Sensing;2024
2. A Machine Learning Based Energy-Efficient Indoor Multiple IoT Device Tracking Algorithm Based on Correlated Group Determination;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12
3. iDT: An Integration of Detection and Tracking Toward Low-Observable Multipedestrian for Urban Autonomous Driving;IEEE Transactions on Industrial Informatics;2023-09
4. Multi-Task Learning Radar Transformer (MLRT): A Personal Identification and Fall Detection Network Based on IR-UWB Radar;Sensors;2023-06-16
5. Multiposture leg tracking for temporarily vision restricted environments based on fusion of laser and radar sensor data;Journal of Field Robotics;2023-05-23
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