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3D Object Detection Using Point Cloud Adaptive Sampling and Point-Attention
Graphic and Image Processing | 更新时间：2025-04-10
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    • 3D Object Detection Using Point Cloud Adaptive Sampling and Point-Attention

    • “In the field of 3D object detection in autonomous driving, researchers have proposed a new method based on adaptive downsampling of LiDAR point clouds and point attention feature aggregation, which effectively improves the detection accuracy of objects with fewer points.”
    • Software Guide   Vol. 24, Issue 3, Pages: 137-144(2025)

    • DOI：10.11907/rjdk.241042    

      CLC： TP391.4

    • Received：19 March 2024，

      Published：15 March 2025

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  • BAI Yanbiao,HUANG Yingping,LIANG Zhenming,et al.3D Object Detection Using Point Cloud Adaptive Sampling and Point-Attention[J].Software Guide,2025,24(03):137-144. DOI： 10.11907/rjdk.241042.

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