LeGO-LOAM

GLIM: versatile and extensible range-based 3D localization and mapping framework

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合

[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.

Precise localization based on GNSS and IMU.

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013

ROS wrapper for Kimera-VIO

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints

Tightly-coupled Direct LiDAR-Inertial Odometry and Mapping Based on Cartographer3D.