pv-rcnn

There are 3 repositories under pv-rcnn topic.

  • open-mmlab/OpenPCDet

    OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

    Language:Python4.8k691.5k1.3k

  • leihui6/ACP-3Detection

    [ICRA 2021] Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

    Language:Python3921314

  • mohamed-said-ibrahem/PV-RCNN_Point-Voxel-Feature-Set-Abstraction-For-3D-Object-Detection

    PointVoxel-RCNN (PV-RCNN), is a two-stage 3D detection framework aiming at more accurate 3D object detection from point clouds. 3D detection approaches are based on either 3D voxel CNN with sparse convolution or PointNet-based networks as the backbone. 3D voxel CNNs with sparse convolution are more efficient and are able to generate high-quality 3D object proposals. PointNet-based methods can capture more accurate contextual information with flexible receptive fields.

    Language:Jupyter Notebook2200