Adaptive Point Cloud Clustering Algorithm for Practical Roadside MmWave Radar Systems

Millimeter-Wave radar has been widely applied in the field of autonomous driving due to an excellent performance under complex weather conditions. However, in practical roadside scenarios, the challenge of sparse point clouds leading to clustering difficulties and the issue of large vehicle point cl...

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Bibliographic Details

Published in:	IEEE Vehicular Technology Conference pp. 1 - 5
Main Authors:	Zhang, Luyi, Zhang, Jinhang, Shi, Haixin, Gao, Lu, Hu, Xiaopeng, Chen, Rui
Format:	Conference Proceeding
Language:	English
Published:	IEEE 24.06.2024
Subjects:	Accuracy Adaptive systems Azimuth clustering Clustering algorithms DBSCAN Logic gates Millimeter wave measurements Millimeter-Wave radar MmWave point cloud Point cloud compression roadside wave gate
ISSN:	2577-2465
Online Access:	Get full text
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