https://github.com/PetWorm/LARVIO

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
https://github.com/PetWorm/LARVIO

ekf-mono-slam larvio localization msckf ros-kinetic ros-melodic ros-node sensor-calibration visual-inertial-odometry

Last synced: about 1 month ago
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A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

• Host: GitHub
• URL: https://github.com/PetWorm/LARVIO
• Owner: PetWorm
• Created: 2019-09-18T01:15:55.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-10T07:02:33.000Z (5 months ago)
• Last Synced: 2024-05-09T14:33:54.780Z (4 months ago)
• Topics: ekf-mono-slam, larvio, localization, msckf, ros-kinetic, ros-melodic, ros-node, sensor-calibration, visual-inertial-odometry
• Language: C++
• Size: 6.58 MB
• Stars: 671
• Watchers: 41
• Forks: 151
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: licenses/LICENCE_VINS_MONO.txt

Awesome Lists containing this project

• Awesome-SLAM - LARVIO - State Constraint Kalman Filter (3. Visual Inertial SLAM / 3.2 Monocular)
• awesome-robotic-tooling - LARVIO - A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter. (Simultaneous Localization and Mapping / Visual)