Welcome to L5Kit !¶
L5Kit is a Python library with functionality for the development and training of learned prediction, planning and simulation models for autonomous driving applications.
News¶
03-12-2022: We’ve just released a new notebook to train and evaluate the model introduced in our paper Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts !
10-06-2021: We’ve just released a series of notebooks to train and evaluate the model introduced in our paper Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients !
08-20-2021: We’ve just released a new notebook tutorial describing our L5Kit gym-compatible environment!
04-16-2021: We’ve just released a new notebook tutorial for the ML simulation task!
12-03-2020: We’ve just released a series of notebooks to train and evaluate an ML planning model. We’ve also included pre-trained models!
11-26-2020: 2020 Kaggle Lyft Motion Prediction for Autonomous Vehicles Competition ended. We had more than 900 teams taking part in it!
11-16-2020: Dataset paper presented at CoRL 2020
09-29-2020: L5Kit v1.0.1 released
08-25-2020: 2020 Kaggle Lyft Motion Prediction for Autonomous Vehicles Competition started
08-24-2020: L5Kit v1.0.6 and Dataset v1.1 (includes traffic light support) released!
Table of Contents¶
Contact¶
If you find problem or have questions about L5Kit please feel free to create github issue !