dimensionalOS / dimensionalOS/dimos
Richer premap format
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- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
Point cloud is just one part of a premap
We should be able to support:
- point cloud
- name locations (rooms, charging pads)
- perception objects
- april tags, fiducial markers
- pose graph
- etc…
Could be stored as .db or .mcap
Synced from DIM-1588 by andrew
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by locating the existing point-cloud-only premap representation, then compare how the listed entities and the proposed .db or .mcap storage could fit; done means an agreed format and support scope for the listed premap data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, robotics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100