Kimera VS VINS-Mono

Compare Kimera vs VINS-Mono and see what are their differences.

VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator (by HKUST-Aerial-Robotics)
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Kimera VINS-Mono
3 1
1,721 4,754
4.4% 1.8%
0.0 2.8
over 3 years ago 16 days ago
C++
BSD 2-clause "Simplified" License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Kimera

Posts with mentions or reviews of Kimera. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-24.

VINS-Mono

Posts with mentions or reviews of VINS-Mono. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-24.

What are some alternatives?

When comparing Kimera and VINS-Mono you can also consider the following projects:

rtabmap - RTAB-Map library and standalone application

ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

openvslam - OpenVSLAM: A Versatile Visual SLAM Framework

R-VIO - Robocentric Visual-Inertial Odometry

awesome-robotics-libraries - :sunglasses: A curated list of robotics libraries and software

dv

xivo - X Inertial-aided Visual Odometry

visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023

open_vins - An open source platform for visual-inertial navigation research.

Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.