Kimera VS rtabmap

Compare Kimera vs rtabmap and see what are their differences.

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Kimera rtabmap
3 14
1,721 2,513
4.4% 2.9%
0.0 9.1
over 3 years ago 9 days ago
C++
BSD 2-clause "Simplified" License GNU General Public License v3.0 or later
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.

rtabmap

Posts with mentions or reviews of rtabmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-22.

What are some alternatives?

When comparing Kimera and rtabmap you can also consider the following projects:

openvslam - OpenVSLAM: A Versatile Visual SLAM Framework

cartographer - Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

VINS-Mono - A Robust and Versatile Monocular Visual-Inertial State Estimator

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

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

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

SuperPoint_SLAM - SuperPoint + ORB_SLAM2

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

PythonRobotics - Python sample codes for robotics algorithms.

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.

v-loam