DBSCAN Clustering Algorithm of Millimeter Wave Radar Based on Multi Frame Joint

Author:

Wang Maofu1,Wang Fenggui1,Liu Chengye1,Ai Mingshun1,Yan Guang1,Fu Quangang2

Affiliation:

1. Key Laboratory of UWB & THz of Shandong Academy of Sciences Institute of Automation Qilu University of Technology (Shandong Academy of Sciences),Jinan,China

2. Taian Xinjie Machinery Co.,LTD,Taian,China

Funder

Key research and development program of Shandong Province

Shandong Academy of Sciences

Publisher

IEEE

Cited by 6 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. Exploiting mmWave and Deep-Learning Models to Estimate People Count in Urban Scenarios;2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI);2024-05-13

2. Passive Location Discrete Point Trace Clustering Algorithm Based on Improved DBSCAN and ACO;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

3. Smart Streetlight Energy Saving System Based on mmWave Radar;Advances in Technology Innovation;2024-04-30

4. Louvain-Based Traffic Object Detection for Roadside 4D Millimeter-Wave Radar;Remote Sensing;2024-01-16

5. Bilevel Fusion With Local and Global Cues for Point Cloud Upsampling;IEEE Transactions on Industrial Informatics;2024

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