Main Dashboard
Created on August 19|Last edited on August 23
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Links to Teams
Welcome! 👋
This demo is here to show Weights and Biases' usefulness in scaling your AV organization. When viewing this demo, you should imagine it from a lens of multiple people working together on one team, with foresight that they will be expanding their org.
In our organization, we will have multiple parts
- The Data Team -> Responsible for properly forming the data to be easily ingested by the Machine Learning Teams. They also may be responsible for reporting different key statistics about the data for a larger understanding of the team.
- The Prediction Team -> Responsible for the task of Motion Prediction -> Predicting both the position of the AV and other free agents on the road, alongside the expected position (i.e. trajectory) of the AV
From this main dashboard, you can see multiple links above that you can explore that will show the work of our other teams here.
L5Kit Introduction
This repository and the associated datasets constitute a framework for developing learning-based solutions to prediction, planning and simulation problems in self-driving. State-of-the-art solutions to these problems still require significant amounts of hand-engineering and unlike, for example, perception systems, have not benefited much from deep learning and the vast amount of driving data available.
The purpose of this framework is to enable engineers and researchers to experiment with data-driven approaches to planning and simulation problems using real world driving data and contribute to state-of-the-art solutions.
You can use this framework to build systems which:
- Turn prediction, planning and simulation problems into data problems and train them on real data.
- Use neural networks to model key components of the Autonomous Vehicle (AV) stack.
- Use historical observations to predict future movement of cars around an AV.
- Plan behavior of an AV in order to imitate human driving.
- Study the improvement in performance of these systems as the amount of data increases.
This software is developed by Lyft Level 5 self-driving division and is open to external contributors.
Video
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