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nuscenes-devkit

The devkit of the nuScenes dataset.

online_learning

Online learning for human classification in 3D LiDAR-based tracking

pcat_open_source

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

pcl

Point Cloud Library (PCL)

point-cloud-perception-papers-reading

Some papers about 3D point cloud processing from LiDAR, cameras, etc.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

pointrcnn-1

PointRCNN+Frustum Pointnet

protobuf

Protocol Buffers - Google's data interchange format

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

rangenet_lib

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

robond-perception-intro

Object Segmentation on 3D Point Cloud Data Using Python-PCL, DBSCAN, K-Means, Histograms, RANSAC, and SVM

rostaller

Make it easy for you to install ROS 1 including indigo, kinetic, melodic and noetic on corresponding ubuntu distributions automatically in just 4 steps.

ros_robotics_projects

Example codes of new book ROS Robotics Projects

run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

second.pytorch

PointPillars for KITTI object detection

semantic_suma

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

slambook

something

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.

voxelnetros

implement the VoxelNet with ROS, using Kitti data to test

vpn

小明VPN

weakly-supervised-3d-object-detection

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020