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
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
ROS2 Drivers for the Ouster OS-0, OS-1, and OS-2 Lidars
Efficient analysis of large datasets of point clouds recorded over time
GPU-accelerated FAST-LIO for ROS2 with Ouster support and Jetson Orin optimization.
Code for the Paper "Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans"
Ray Casting-Based Range Sensor Simulation in Gazebo using Rmagine
Ouster YOLOv5 Demo
Additional samples and utility for the ouster-ros driver
LiDAR-Inertial Odometry Navigation for GPS-Denied Environments
Toy client to read Ouster OS1 data in C++ programs external to ROS
🚀 Achieve real-time LiDAR odometry with robust state estimation using Probabilistic Kernel Optimization for SLAM applications.
Sensor-agnostic vehicle detection for signalised intersections: pluggable sensor adapters (LiDAR, radar, CV), Jetson, SDLC detector calls via Luxcom EM-HDLC
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