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
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