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
Cross-platform C++ and Python SDK for Ouster LiDAR sensors. Includes tools for visualization, data recording/replay, and sensor configuration
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
ROS2 Drivers for the Ouster OS-0, OS-1, and OS-2 Lidars
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
Efficient analysis of large datasets of point clouds recorded over time
Ouster YOLOv5 Demo
GPU-accelerated FAST-LIO for ROS2 with Ouster support and Jetson Orin optimization.
Ray Casting-Based Range Sensor Simulation in Gazebo using Rmagine
Toy client to read Ouster OS1 data in C++ programs external to ROS
Code for the Paper "Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans"
🚀 Run Linux applications on iOS devices using a hypervisor, leveraging ARM architecture for enhanced performance and reduced overhead.
A computationally efficient and robust LiDAR-inertial odometry package, adapted from FAST-LIO and redesigned for native Ouster LiDAR support on ROS2. It preserves the original real-time performance while removing Livox-specific dependencies.
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