dimensionalOS / dimensionalOS/dimos
Search and track Demo
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- Dominant language
- Python
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Description
D1 Detector in the loop. YOLO on the drone camera, detections published as DimOS messages.
D2 World-frame projection. Detection → geolocated point via depth or ground-plane ray cast.
D3 Search until found. Lawnmower or frontier sweep over a region, stop on first detection of the target class.
D4 Detect-then-track handoff. Finder switches to standoff orbit; the others resume searching.
D5 Relay tracking of a moving target. Target walks out of drone A's cone, drone B picks it up, ID preserved.
D6 Cross-embodiment escalation. Drone finds the person, dog is dispatched to the geolocated point.
Synced from DIM-1597 by ezen
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
The issue defines six broad capabilities, from YOLO detections and geolocation to multi-drone tracking and cross-embodiment dispatch, but names no files, tests, or entry points. Start by identifying which D1-D6 capability is currently scoped and locating its existing perception, messaging, or coordination entry points. Done should be defined for one capability before implementation begins.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, robotics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100