Cartographic Information not available in v1.01-train
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- data
Research direction
Review the Lyft dataset tutorial and the maps folder, starting with the provided .png files and any dataset-loading entry points they reference. Determine whether source cartographic tables or an extraction path are present, and document or implement the requested access only if the repository provides enough source data to support it.
Written by the indexing model from the issue text.
Description
In the dataset Lyft page it is reported:
This dataset includes a high quality semantic map. A semantic map provides context to reason about the presence and motion of the agents in the scenes. The provided map has over 4000 lane segments (2000 road segment lanes and about 2000 junction lanes) , 197 pedestrian crosswalks, 60 stop signs, 54 parking zones, 8 speed bumps, 11 speed humps.
All map elements are registered to an underlying geometric map. This is the same frame of reference for all the scenes in the dataset.
After completing the tutorial using the Lyft dataset v1.01-train I noticed that:
- the cartographic information are drawn in the .png file in the maps folder
- I could not find any table that contains cartographic information
(like traffic lights, road segments, etc ...)
Q1:
Is there any way to get the OpenStreetMap info you used to generate the .png file with the HD map information on top?
Q2:
Is there any way already to extract these info?
(nuscenes released the map expansion for that purpose )
- Dominant language
- Jupyter Notebook
- Stars
- 390
- Forks
- 99
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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