whuzs Goto Github PK

3d_bbs

ad_sensor_fusion

alterground-lego-loam

The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

apollo_shenlan

automateddrivingseries

自动驾驶实战系列博客

autoware.ai

Open-source software for self-driving vehicles

autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

awesome_slam_computer_vision_resources

core_perception

ct_icp

CT-ICP: Continuous-Time LiDAR Odometry

cuda-pcl

A project demonstrating how to use the libs of CUDA-PCL.

cuda_orb

cuda_voxelizer

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

cudakdtree

cyber_record

cyber_record offline parse tool

ddd

depth_clustering

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

direct_lidar_odometry

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

dv-loam

esekf-imu-gnss-lidar

Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.

fast_gicp

A collection of GICP-based fast point cloud registration algorithms

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fast_lio2_noted

fastergicp

an improvement of fast_gicp

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

gluestick

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

hdl_graph_slam

3D LIDAR-based Graph SLAM

hdl_localization

Real-time 3D localization using a (velodyne) 3D LIDAR

icpcuda

Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher

ikd-tree

This repository provides implementation of an incremental k-d tree for robotic applications.