Converting Map to Vector Forms
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Description
Hi, Thank you for your wonderful dataset!
In short, I am wondering how we may convert the masked map into the form of vector maps? The vector maps here mean the HD-Maps in Waymo and Argoverse, which are used in SOTA methods like TNT[1].
The background of my question is that: I am trying to explore some motion prediction algorithms on the basis of Lyft perception dataset. (As the perception dataset has exhaustive bounding box annotations, which the motion prediction dataset does not have). Converting the HD-Map into the vectorized forms is necessary to using the SOTA algorithms such as TNT[1], VectorNet[2].
Thank you for your help!
[1] TNT: Target-driveN Trajectory Prediction
[2] VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no files, tests, or entry points. Start by inspecting how the masked maps are represented in this repository and whether any map-processing utilities exist; done would require a documented or implemented conversion to vectorized HD-map features suitable for motion-prediction methods such as TNT or VectorNet.
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Assessment
- Domain
- autonomous-driving
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100