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BEV Lidar Literature Survey

A general pipeline in BEV lidar.

  • VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection / paper / supplemental / VoxelNet
  • SECOND: Sparsely Embedded Convolutional Detection / paper / project / Sensors 2018 / SECOND
  • Center-Based 3D Object Detection and Tracking / paper / supplemental / project / CVPR 2021 / CenterPoint
  • PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection / paper / project / CVPR 2020 / PV-RCNN
  • PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection / paper / project / arXiv / PV-RCNN++
  • Structure Aware Single-Stage 3D Object Detection From Point Cloud / paper / project / CVPR 2020 / SA-SSD
  • Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection / paper / project / AAAI 2021 / Voxel R-CNN
  • Object DGCNN: 3D Object Detection using Dynamic Graphs / paper / NeurIPS 2021 / DGCNN
  • Voxel Transformer for 3D Object Detection paper / ICCV 2021 / VoTr
  • Embracing Single Stride 3D Object Detector With Sparse Transformer / paper / supplemental / project / CVPR 2022 / SST
  • AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds / paper / AAAI 2022 / AFDetV2
  • PointPillars: Fast Encoders for Object Detection From Point Clouds / paper / CVPR 2019 / PointPillars
  • InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling / paper / ECCV 2020 / InfoFocus
  • M3DETR: Multi-Representation, Multi-Scale, Mutual-Relation 3D Object Detection With Transformers / paper / project / WACV 2022 / M3DETR
  • BirdNet: a 3D Object Detection Framework from LiDAR information / paper / project / ITSC 2018 / BirdNet
  • BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye View / paper / project / ITSC 2020 / BirdNet+
  • BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving / paper / ITSC 2021 / BEVDetNet
  • Complex-YOLO: Real-time 3D Object Detection on Point Clouds / paper / project / ECCV 2018 / Complex-YOLO
  • Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds / paper / CVPR 2019 / Complexer-YOLO
  • PIXOR: Real-time 3D Object Detection from Point Clouds / paper / project / CVPR 2018 / PIXOR
  • HDNET: Exploiting HD Maps for 3D Object Detection / paper / PMLR 2018 / HDNET