LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
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Updated
Feb 14, 2025 - C++
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LIO_SAM for 6-axis IMU and GNSS.
LIO-SAM-6AXIS with intensity image loop optimization
ROS 2 LiDAR-Visual-Inertial SLAM for NVIDIA Jetson Orin NX using Livox MID360 and Arducam IMX219
A very minimal but working Python only implementation for loosely-coupled LiDAR-Inertial odometry for education purpose.
benchmark scripts for LiDAR or LiDAR-inertial odometry research
🚀 Achieve real-time LiDAR odometry with robust state estimation using Probabilistic Kernel Optimization for SLAM applications.
Enhance your shell with a fast, local-first runtime that improves navigation, prompts, and command history without any setup.
🖥️ Create efficient programs with AXIS, a minimalist language that offers Python-like syntax and dual modes: interpreted scripts or direct x86-64 compilation.
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