ciaozinnia

Pinned Repositories

AlterGround-LeGO-LOAM
The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry
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ament_cmake
Supporting CMake packages for working with ament
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AVP-SLAM-PLUS
An implementation of AVP-SLAM and some new contributions
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AVP-SLAM-SIM
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
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BALM
An efficient and consistent bundle adjustment for lidar mapping
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ciaozinnia.github.io
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FAST-LIVO
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
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FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
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FAST_LIO1_NOTED
仅用于学习
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FAST_LIO2_EIGEN
使用Eigen重构FAST_LIO2的简洁实现
Language:C++00

ciaozinnia's Repositories

ciaozinnia/ament_cmake
Supporting CMake packages for working with ament
Language:CMake00
ciaozinnia/BALM
An efficient and consistent bundle adjustment for lidar mapping
Language:C++00
ciaozinnia/ciaozinnia.github.io
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ciaozinnia/FAST-LIVO
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Language:C++00
ciaozinnia/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Language:C++00
ciaozinnia/FAST_LIO2_EIGEN
使用Eigen重构FAST_LIO2的简洁实现
Language:C++00
ciaozinnia/FAST_LIO_LC
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
ciaozinnia/FAST_LIO_LOCALIZATION
A simple localization framework that can re-localize in built maps based on FAST-LIO.
ciaozinnia/FAST_LIO_SAM
Front_end : fastlio2 Back_end : lio_sam
ciaozinnia/faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
ciaozinnia/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
ciaozinnia/ieskf_slam
ieskf lio
ciaozinnia/ikd-Tree-detailed
「香港大学 MaRS 实验室」开源 ikd-Tree 算法中文注释版；新增了header-only分支，便于直接嵌入工程。
ciaozinnia/IKFoM
A computationally efficient and convenient toolkit of iterated Kalman filter.
ciaozinnia/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
ciaozinnia/LIO_SAM_6AXIS
LIO_SAM for 6-axis IMU and GNSS.
ciaozinnia/liorf
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
ciaozinnia/liorf_localization
A simple location system based on a priori map, which is based on the lio-sam framework
ciaozinnia/Livox-Mapping
An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR
ciaozinnia/livox_cloud_undistortion
This project is used for lidar point cloud undistortion.
ciaozinnia/LOG-LIO
A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
ciaozinnia/Point-LIO
ciaozinnia/PV-LIO
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
ciaozinnia/RingFalsNormal
A novel fast approximate least squares normal estimator using the structural information of certain LiDAR, is fast and accurate compared to PCL, and meets the real-time requirements of the LIO system.
ciaozinnia/S-FAST_LIO
A simplified implementation of FAST_LIO (with Chinese note)
ciaozinnia/SC-LIO-SAM
LiDAR-inertial SLAM: Scan Context + LIO-SAM
ciaozinnia/simple-lio
ciaozinnia/Simple-LIO-SAM
Code for simplified LIO-SAM
ciaozinnia/SLAM-application
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, FAST-LIO-MULTI application and comparison on Gazebo and real-world datasets. Installation and config files are provided.
ciaozinnia/VoxelMap
[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry