Furry Discord Bot for Utility and Fun
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Updated
Oct 31, 2021 - TypeScript
Furry Discord Bot for Utility and Fun
Lidar localization system with prior map constraint and lio constraint based on GTSAM
Solutions for the Luxembourg Informatics Olympiad
InGM-LIO: A Multiscale Gaussian Model-Based LiDAR-Inertial Odometry Using Invariant Kalman Filtering.
A very minimal but working Python only implementation for loosely-coupled LiDAR-Inertial odometry for education purpose.
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation
Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
LIO_SAM for 6-axis IMU and GNSS.
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