pv-rcnn

There are 1 repository under pv-rcnn topic.

• open-mmlab / OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  point-cloud3d-detectionautonomous-drivingpv-rcnnobject-detectionpytorch
  Language:Python 4318

• leihui6 / ACP-3Detection

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

  kittipv-rcnn3d-detection
  Language:Python 37

• 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.

  pv-rcnn3d-object-detectioncomputer-vision
  Language:Jupyter Notebook 2