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A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.
A curated list of resources relevant to wheel-based SLAM
Hybrid A* Path Planner for the KTH Research Concept Vehicle
😎 A current list of LiDAR-IMU calibration method
A collection of GTSAM factors and optimizers for point cloud SLAM
GLIM: versatile and extensible range-based 3D localization and mapping framework
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
Easy to use tools to create and edit trajectories for the rviz camera.
Wheel speed, IMU, and camera data simulation for testing VIWO algorithms.
This is the code repository for the IEEE-RAL'24 paper "FMCW-LIO: A Doppler LiDAR-Inertial Odometry"
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
[ICRA 2024] A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps
LIVW-Localization: A Multi-modal Information Fused Vehicle Localization Method for Complex, Large-Scale and GNSS-Denied Environments.
Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge in One-shot
Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging
ROS2 / FAST_LIO / PGO / Online Re-Localization / Consistent Map with BA or HBA
it is a conclusion of several ways to make calibration for multi-sensors
A LiDAR-inertial odometry for dynamic environments.
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization
Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry
Minimal, robust, accurate and real-time LiDAR odometry