shijian1995 Goto Github PK

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

a-loam

Advanced implementation of LOAM

ab3dmot

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

adaptive_clustering

Lightweight and Accurate Point Cloud Clustering

ai-imu-dr

AI-IMU Dead-Reckoning

apollo

An open autonomous driving platform

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-robotics

A list of awesome Robotics resources

awesome-slam-datasets

A curated list of awesome datasets for SLAM

awesome_dynamic_slam

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc. )

balm

car_time_sync

carla

Open-source simulator for autonomous driving research.

cascaded-lidar-ground-segmentation

A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC

cblox

Voxblox-based submapping

cloud_annotation_tool

L-CAS 3D Point Cloud Annotation Tool

cmake-examples

Useful CMake Examples

cmake-tutorial

CMake 中文教程

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

cpi

Closed-form Preintegration for Graph-based Visual-Inertial Navigation

ct_icp

Continuous Time LiDAR odometry

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

dbscan

c++ implementation of clustering by DBSCAN

dbscan-pcl-optimized

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

decentralized_loam

delora

Self-supervised Deep LiDAR Odometry for Robotic Applications

depth_clustering

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

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

direct_lidar_odometry

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds