Awesome-3D-Object-Detection

A curated list of research in 3D Object Detection(Lidar-based Method).

You are very welcome to pull request to update this list. :smiley:

Dataset

• KITTI Dataset

  • 3,712 training samples
  • 3,769 validation samples
  • 7,518 testing samples

• nuScenes Dataset

  • 28k training samples
  • 6k validation samples
  • 6k testing samples

• Lyft Dataset

• Waymo Open Dataset

  • 798 training sequences with around 158, 361 LiDAR samples
  • 202 validation sequences with 40, 077 LiDAR samples.

Top conference & workshop

Conferene

• Conference on Computer Vision and Pattern Recognition(CVPR)
• International Conference on Computer Vision(ICCV)
• European Conference on Computer Vision(ECCV)

Workshop

• CVPR 2019 Workshop on Autonomous Driving(nuScenes 3D detection)

• CVPR 2020 Workshop on Autonomous Driving(BDD1k 3D tracking)

• CVPR 2021 Workshop on Autonomous Driving(waymo 3D detection)

• CVPR 2022 Workshop on Autonomous Driving(waymo 3D detection)

• CVPR 2021 Workshop on 3D Vision and Robotics

• CVPR 2021 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics

• ICCV 2019 Workshop on Autonomous Driving

• ICCV 2021 Workshop on Autonomous Vehicle Vision (AVVision), note

• ICCV 2021 Workshop SSLAD Track 2 - 3D Object Detection

• ECCV 2020 Workshop on Commands for Autonomous Vehicles

• ECCV 2020 Workshop on Perception for Autonomous Driving

Paper (Lidar-based method)

• End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds paper
• Vehicle Detection from 3D Lidar Using Fully Convolutional Network(baidu) paper
• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection paper
• Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks paper
• RT3D: Real-Time 3-D Vehicle Detection in LiDAR Point Cloud for Autonomous Driving paper
• BirdNet: a 3D Object Detection Framework from LiDAR information paper
• LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR paper
• HDNET: Exploit HD Maps for 3D Object Detection paper
• PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper
• IPOD: Intensive Point-based Object Detector for Point Cloud paper
• PIXOR: Real-time 3D Object Detection from Point Clouds paper
• DepthCN: Vehicle Detection Using 3D-LIDAR and ConvNet paper
• Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds paper
• STD: Sparse-to-Dense 3D Object Detector for Point Cloud paper
• Fast Point R-CNN paper
• StarNet: Targeted Computation for Object Detection in Point Clouds paper
• Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection paper
• LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving paper
• FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds paper
• Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud paper
• PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud paper
• Complex-YOLO: Real-time 3D Object Detection on Point Clouds paper
• YOLO4D: A ST Approach for RT Multi-object Detection and Classification from LiDAR Point Clouds paper
• YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud paper
• Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud paper
• Pillar-based Object Detection for Autonomous Driving (ECCV2020) paper
• EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV2020)