aruco_ekf_slam
ArUco-based EKF-SLAM. (by ydsf16)
orb_slam_2_ros
A ROS implementation of ORB_SLAM2 (by appliedAI-Initiative)
| aruco_ekf_slam | orb_slam_2_ros | |
|---|---|---|
| 1 | 1 | |
| 282 | 590 | |
| - | 3.4% | |
| 4.1 | 0.0 | |
| 4 days ago | 9 months ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | 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.
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.
aruco_ekf_slam
Posts with mentions or reviews of aruco_ekf_slam.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-12.
-
improving camera pose estimation using multiple aruco markers
Most of the code in pytagmapper is geared towards building said map, using an algorithm called SLAM. Nowadays, SLAM is usually implemented by solving a numerical optimization problem. The pytagmapper project uses a variant called Gaussian Belief Propagation. Other more popular variants, are some form of EKF or Levenberg Marquardt. You can try using pytagmapper to build your map, or some other SLAM software. Googling "aruco tag slam" gives this ROS based project https://github.com/ydsf16/aruco_ekf_slam for example.
orb_slam_2_ros
Posts with mentions or reviews of orb_slam_2_ros.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-28.
-
Odometry is changing at a faster rate with intelrealsense d435 while using orb_slam2_ros
I have compiled [this repository](https://github.com/appliedAI-Initiative/orb_slam_2_ros) on nvidia jetson nano and it has been successfully built inside my catkin workspace. I have double checked the rosnode list and topics subscribed and published by nodes and they are all good. When I launched the file `roslaunch orb_slam2_ros orb_slam2_d435_rgbd.launch` and try to see the `/orb_slam2_rgbd/pose` topic, the pose looks quite unstable and changing at a faster rate (you can see inside the video attached) while the robot is static. I have attached the tf tree in this issue [frames.pdf](https://github.com/appliedAI-Initiative/orb_slam_2_ros/files/8130863/frames.pdf) and a video link [here](https://drive.google.com/file/d/1nU13ZrD_oXfTAPqC75yUB4uY-FzfR1dC/view?usp=sharing).
What are some alternatives?
When comparing aruco_ekf_slam and orb_slam_2_ros you can also consider the following projects:
SuperPoint_SLAM - SuperPoint + ORB_SLAM2
Fast_RRT-ROS - RRT-ROS implementation.
Universal_Robots_ROS_Driver - Universal Robots ROS driver supporting CB3 and e-Series
Nox_robot - Nox robot project
ov2slam - OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications
stella_vslam - This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
sloam - Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)
realsense-ros - ROS Wrapper for Intel(R) RealSense(TM) Cameras