DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering

As a fundamental perception task, 3D point cloud detection has become essential for applications in autonomous driving and robotics. However, point cloud detection faces significant challenges of high computational cost due to complex point processing operations. To address this issue, we propose DA...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Tang, Dongdong, Mao, Yu, Wang, Weilan, Guan, Nan, Kuo, Tei-Wei, Xue, Chun Jason
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Accuracy Computational efficiency Filters Object detection Object recognition Partitioning algorithms Point cloud compression Robots Three-dimensional displays Tuning
Online-Zugang:	Volltext
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