目录
Deep Learning for 3D Point Clouds: A Survey
3d目标检测常见基础概念
3d目标检测数据集介绍(数据格式,保存形式,适配算法库等)
KITTI数据集
Waymo数据集
nuScenes数据集
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
Voxelnet: Deep Hough Voting for 3D Object Detection in Point Clouds
SECOND: Sparsely Embedded Convolutional Detection
PointPillars: Fast Encoders for Object Detection from Point Clouds
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud | code
CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud (AAAI 2021) | code
前融合 MV3D: Multi-View 3D Object Detection Network for Autonomous Driving
AVOD: Joint 3D Proposal Generation and Object Detection from View Aggregation | code
PointPainting: Sequential Fusion for 3D Object Detection
后融合
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
OpenPCDet:
https://github.com/open-mmlab/OpenPCDet
mmdetection3d:
https://github.com/open-mmlab/mmdetection3d
官方文档:
https://mmdetection3d.readthedocs.io/
Det3D:
https://github.com/poodarchu/Det3D
Paddle3D:
https://github.com/PaddlePaddle/Paddle3D