Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception

State-of-the-art methods for driving-scene LiDAR-based perception (including point cloud semantic segmentation, panoptic segmentation and 3D detection, etc.) often project the point clouds to 2D space and then process them via 2D convolution. Although this cooperation shows the competitiveness in th...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 26. Okt., Seite 6807-6822
1. Verfasser: Zhu, Xinge (VerfasserIn)
Weitere Verfasser: Zhou, Hui, Wang, Tai, Hong, Fangzhou, Li, Wei, Ma, Yuexin, Li, Hongsheng, Yang, Ruigang, Lin, Dahua
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article