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[IROS 2024] I2EKF-LO: A Dual-Iteration Extended Kalman Filter based LiDAR Odometry
Dynamic Initialization for LiDAR-inertial SLAM
A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.
GREAT-WHU / GREAT-MSF
Forked from GREAT-WHU/GREAT-PVTGREAT-MSF Beta: Advanced GNSS/INS fusion system supporting PPP/RTK, multi-GNSS, custom IMU, fast initialization, and visualization. Future releases will integrate LiDAR, cameras, HD maps, UWB, whee…
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
LIR-LIVO: A Lightweight,Robust Lidar/Vision/Inertial Odometry with Illumination-Resilient Deep Features
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
BEV Image Assisted LiDAR-Inertial Odometry with Loop Closure
一个简洁的播放动漫的App,支持弹幕,多数据源等,使用Jetpack Compose进行开发
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
The full_linear_wheel_odometry_factor provides motion constraints and online calibration for skid-steering robots. This constraint can be incorporated into your SLAM framework. Here is an example v…
A LiDAR odometry pipeline for wheeled mobile robots
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
This is a ROS package for lidar odometry implementation using rotation optimization method.
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
This is the code repository for the IEEE-RAL'24 paper "Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for FMCW LiDAR-Inertial Systems, IEEE Robotics and Automation Letter…
A LiDAR-Inertial localization package based on FAST-LIO2, operating with a known prior map.
This robot lcoalisation package for lidar-map based localisation using multi-sensor state estimation.
EKF-based LiDAR-Inertial Map matching Localization
A modified version of FAST-LIO2 that can generate RGB point cloud maps
[ICRA'24] A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps