rtabmap VS SuperPoint_SLAM

Compare rtabmap vs SuperPoint_SLAM and see what are their differences.

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rtabmap SuperPoint_SLAM
14 2
2,501 504
2.5% -
9.1 1.8
9 days ago about 3 years ago
C++ C++
GNU General Public License v3.0 or later 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.

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.

SuperPoint_SLAM

Posts with mentions or reviews of SuperPoint_SLAM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-27.
  • Modular Open Source Visual SLAM
    4 projects | /r/computervision | 27 Oct 2022
    Hi everyone, I am trying to implement a VSLAM with DNN specifically the Feature Extraction module in the SLAM pipeline. Something on the lines of this repo Superpoint_SLAM , which integrates SuperPoint Feature extraction into ORB_SLAM2
  • Complete Open Source Deep Learning Implementations For V-SLAM
    2 projects | /r/computervision | 31 Jan 2021
    As you've mentioned, there are many papers on deep local feature extraction, like SuperPoint and R2D2. If you wish to use them in SLAM, you can simply replace the feature extraction module in the existing SLAM system with the deep local feature method. An example is shown here - this system uses SuperPoint as local features instead of ORB features in the original ORB-SLAM 2 pipeline. https://github.com/KinglittleQ/SuperPoint_SLAM

What are some alternatives?

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

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

orb_slam_2_ros - A ROS implementation of ORB_SLAM2

openvslam - OpenVSLAM: A Versatile Visual SLAM Framework

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

PythonRobotics - Python sample codes for robotics algorithms.

pyslam - pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

v-loam

maplab - A Modular and Multi-Modal Mapping Framework

Kimera - Index repo for Kimera code

xivo - X Inertial-aided Visual Odometry