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3d_kitti_eval

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

cam_lidar_calibration

(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.

cloudcompare

CloudCompare main repository

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

efficient_online_learning

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

eval_kitti

Tools to evaluate object detection results using the KITTI dataset.

kitti-object-eval-python

Fast kitti object detection eval in python(finish eval in less than 10 second)

lidar_clustering_bench

LiPC: LiDAR Point Cloud Clustering Benchmark Suite

lidar_undistortion

Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

plane_fit_ground_filter

点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications

pointnet

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

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointnext

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

pointnext_pure_python

run_based_segmentation

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

shadowsocks

shadowsocks.wiki