Fast_RRT-ROS VS orb_slam_2_ros

Compare Fast_RRT-ROS vs orb_slam_2_ros and see what are their differences.

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Fast_RRT-ROS orb_slam_2_ros
1 1
4 587
- 2.7%
3.5 0.0
over 3 years ago 9 months ago
C++ C++
MIT 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.

Fast_RRT-ROS

Posts with mentions or reviews of Fast_RRT-ROS. We have used some of these posts to build our list of alternatives and similar projects.

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
    2 projects | /r/ROS | 28 Feb 2022
    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 Fast_RRT-ROS and orb_slam_2_ros you can also consider the following projects:

Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

SuperPoint_SLAM - SuperPoint + ORB_SLAM2

Fast-Planner - A Robust and Efficient Trajectory Planner for Quadrotors

Universal_Robots_ROS_Driver - Universal Robots ROS driver supporting CB3 and e-Series

towr - A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.

Nox_robot - Nox robot project

pinocchio - A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

ov2slam - OVĀ²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

symforce - Fast symbolic computation, code generation, and nonlinear optimization for robotics

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