ciwedwang's repositories
4DGaussians
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
A-LOAM-NOTED
A-LOAM注释
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
ciwedwang
Config files for my GitHub profile.
dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
draco
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
FAST_LIO2_Noted
FAST_LIO2_Noted 中文注释版
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
interactive_slam
Interactive Map Correction for 3D Graph SLAM
learning-cmake
learning cmake
lidar_imu_calib
automatic calibration of 3D lidar and IMU extrinsics
LiDAR_IMU_Init
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
LIO_SAM_6AXIS
LIO_SAM for 6-axis IMU and normal GNSS.
loopclosure_for_aloam
A simple Loopclosure detection for A-LOAM
LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
MA-LIO
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
MapTR
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
MINS
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.
OB_GINS
An Optimization-Based GNSS/INS Integrated Navigation System
rs_to_velodyne
A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.
sensor-fusion-for-localization-and-mapping
深蓝学院 多传感器定位融合第四期 学习笔记
simple_gnss_localizer
A simple GNSS positioning and display demo(三维位姿数据显示在Google地图上)
testICP
A variety of ICP algorithm implementation, can be used to do comparative testing. Include ICP_CERES, ICP_G2O,ICP_SVD etc.
VMA
A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type