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The plan for open source code? #3
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Thanks for your interest. We plan to welcome community contributions to nuPlan garage for new results on the Val14 benchmark and the corresponding planner code. We want to make contributing to this project easy and transparent, so we will create a contribution guide after we have released our pre-trained models. The first release (for PDM-Open, PDM-Offset and PDM-Hybrid) is scheduled for this week. |
Thanks for your response. I'm very interested in contributing to this project and looking forward to seeing the contribution guidelines! |
From https://arxiv.org/abs/2302.07753, it looks like Urban Driver has much better performance metrics as compared to IDM. But it is not that way in your paper. Is there a reason to it? |
I want to contribute to this project, but i dont know which algorithm(from some paper) is worth to be Implemented. |
@Syzygianinfern0: Urban Driver (like all other learned methods) is great at open-loop ego-forecasting, which is the primary focus in the evaluations in Marcel's earlier paper https://arxiv.org/abs/2302.07753 @LarryZhangy: we are still in the process of finalizing the contribution guide, please be patient and we will release it soon! I don't have a concrete suggestion for which paper is worth most to implement. Some interesting candidates could be PlanT (https://www.katrinrenz.de/plant/) or any of the nuPlan challenge submissions that placed 2nd to 4th (https://opendrivelab.com/AD23Challenge.html#nuplan_planning) |
Is there an estimated timeline on the visualization scripts? |
@Syzygianinfern0 Adding the visualization scripts is not our highest priority at the moment. However, you can visualize our planners using the nuBoard from nuPlan’s devkit. |
Update: Feel free to reopen if the guidelines do not answer all of your questions. |
Great work!It helped me a lot!
Could you tell me what is the plan for open source code?
Thank you very much!
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