Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add Map-Odom Localization #4

Open
amock opened this issue Dec 4, 2024 · 0 comments
Open

Add Map-Odom Localization #4

amock opened this issue Dec 4, 2024 · 0 comments
Assignees
Labels
enhancement New feature or request good first issue help wanted Extra attention is needed

Comments

@amock
Copy link
Collaborator

amock commented Dec 4, 2024

This is a TODO-issue for adding examples on how to get a map-to-odom localization. The current map-to-odom localization is provided by Gazebo. Since we cannot get the Gazebo localization in the real world, this is a necessary and missing component to apply mesh navigation to a real robot.

Some approaches that came to my mind:

  1. MICP-L from the RMCL project. This should be not too hard to do, as it was successfully done for the ROS 1 version here: Integration with other pose estimations  uos/rmcl#3
  2. Instructions on how to convert meshes to other formats where the SOTA of prior map localization is wider.
  3. Something GPS-based for outdoor scenarios. Provide instructions on how to geo-reference a map.

I will care about point (1.) soon. However, if someone is faster than me feel free to contact me. Note: I would still like to keep the Gazebo localization as default since it makes life easier to develop navigation algorithms.

@amock amock added enhancement New feature or request help wanted Extra attention is needed good first issue labels Dec 4, 2024
@amock amock self-assigned this Dec 4, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request good first issue help wanted Extra attention is needed
Projects
None yet
Development

No branches or pull requests

1 participant