hunkyu's repositories
icp-cuda-pytorch-extension
ICP implementation for PyTorch CUDA extension
minisam_lib
Lightweighted graph optimization (Factor graph) library derived from gtsam.
awesome-slam-datasets
A curated list of awesome datasets for SLAM
DeepFactors
Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation
extrinsic_lidar_camera_calibration
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
in2laama_datasets
Lidar-inertial datasets
interactive_markers
Interactive marker library for RViz and similar visualizers.
Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
loam_livox
A robust LiDAR Odemetry and Mapping (LOAM) package for Livox-LiDAR
map_compression
3D LiDAR Map Compression for Efficient Localization on Resource Constrained Vehicles
Multi-Sensor-Combined-Navigation
Multi-Sensor Combined Navigation Program(GNSS, IMU, Camera and so on) 多源多传感器融合定位 GNSS/INS组合导航
multiple-object-tracking-lidar
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
point_labeler
My awesome point cloud labeling tool
pointcloudToMesh
C++ application to convert pcd file, ply file, txt file or xyz point cloud to MESH representation (Gp3).
semantic_slam_nav_ros
针对带有RGBD相机的服务机器人,物流机器人等。具有:语义地图构建、定位导航、三维重构、重定位、动态物体识别、移动避障、手势识别、人脸识别、语音合成与识别等功能
solve_keyframe_pose_graph
A multi-threaded node to solve 6DOF posegraph slam. Needs poses at each node (subscribes to) and relative positions at edges. Maintains an optimized pose graph. Has support for recovery from kidnap
VI-Stereo-DSO
Direct sparse odometry combined with stereo cameras and IMU
VINS-Fusion-gpu
This repository is a version of VINS-Fusion with gpu acceleration. It can run on the Nvidia TX2 in realtime
VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
VIO_Tutotial_Course
VIO_Tutotial_Course homework of He Yijia and Gao Xiang