ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling

The preprocessing of point cloud data has always been an important problem in 3D object detection. Due to the large volume of point cloud data, voxelization methods are often used to represent the point cloud while reducing data density. However, common voxelization randomly selects sampling points...

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Veröffentlicht in:	Machine vision and applications 2024-05, Vol.35 (3), p.56, Article 56
Hauptverfasser:	Liu, Yiyi, Yang, Zhengyi, Tong, JianLin, Yang, Jiajia, Peng, Jiongcheng, Zhang, Lihang, Cheng, Wangxin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Communications Engineering Computer Science Feature extraction Fuzzy sets Image Processing and Computer Vision Networks Object recognition Pattern Recognition Pedestrians Sampling Three dimensional models
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