Open xmfcx opened 3 months ago
I have started working on it. I will try to update in this issue regularly. Right now I am trying to understand the notebook. my next plan is to generate some sample predictions and run the evaluation pipeline. then i would like to use autoware for prediction
Hello @sezan92 . Thanks for your efforts. Is there any update or open PR related this issue ?
@meliketanrikulu yes, I am continuously working on this. I am in the middle of setting up the nuscense dev kit in my local machine , then I plan to use Autoware perception stack . My plan is to feed the data from nuscenes to the perception node (sorry if my naming is wrong) and get the prediction. then i will evaluate using the prediction. but I am progressing slowly as I am also busy in my full time job. is that fine?
@meliketanrikulu yes, I am continuously working on this. I am in the middle of setting up the nuscense dev kit in my local machine , then I plan to use Autoware perception stack . My plan is to feed the data from nuscenes to the perception node (sorry if my naming is wrong) and get the prediction. then i will evaluate using the prediction. but I am progressing slowly as I am also busy in my full time job. is that fine?
@sezan92 Thanks for your effort. No problem . I just asked to check the assignee part. I wish you good work :)
@sezan92 Are you working on this at the moment? If you cannot work on this, I would like to assign someone else.
@mitsudome-r i am working on this but the progress is slow, if it is urgent for autoware, then you are free to re-assign.
Checklist
Description
Autoware currently uses rule-based prediction modules with simple linear models. We aim to assess the performance of these existing prediction modules using the nuScenes dataset's Prediction Challenge to better understand their accuracy and reliability before integrating learning-based prediction algorithms.
Similar previous work:
Purpose
The purpose of this evaluation is to benchmark Autoware's current prediction capabilities against the nuScenes dataset. This will provide a clear baseline of performance and highlight areas for improvement as we transition to more sophisticated learning-based prediction algorithms.
Possible approaches
Definition of done