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Deep Learning for 3D Point Clouds: A Survey
基础概念
3d目标检测常见基础概念
3d目标检测 自动驾驶 数据集 3d目标检测数据集介绍#xff08;数据格式#xff0c;保存形式#xff0c;适配算法库等#xff09;
KITTI数据集 Waymo数据集 nu…
目录3d视觉综述论文
Deep Learning for 3D Point Clouds: A Survey
基础概念
3d目标检测常见基础概念
3d目标检测 自动驾驶 数据集 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
point-based 3d视觉
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
voxel-base 3d 视觉
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
多传感器融合
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
3d视觉多模态融合 框架
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
