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 )
In the dataset Lyft page it is reported:
After completing the tutorial using the Lyft dataset v1.01-train I noticed that:
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 )