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SLAM & Localization

FAST-LIO / FAST-LIO2

Open-source

HKU MaRS Lab

FAST-LIO is a SLAM framework that efficiently fuses LiDAR and IMU data for accurate and robust localization even under fast motion. FAST-LIO2 improves on the original using an incremental k-d tree for faster map updates. Works with any 3D LiDAR. Extremely popular in robotics.

Key features

  • β—†Tightly-coupled LiDAR-IMU fusion
  • β—†Handles fast motion well
  • β—†Open-source, compatible with any 3D LiDAR
Supported sensors

Tout LiDAR 3D

ROS

ROS1 + ROS2 Humble

Pricing

Open-source (GPL)

Platforms

Linux, ROS, ROS2

#slam#lidar#imu#ros