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Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge
In this research, we focus on the development of a vehicle's lateral control system using a machine learning framework.
Vehicle lateral control using Machine Learning for automated vehicle guidance
We have two results to share: first, even on a very small number of labeled data, a very good generalization capability of the random forest-based regressor in comparison with a deep neural network and accordingly random forest controller can drive on another similar track, where the deep neural network-based model fails to drive, and second confidence in predictions in random forest controller makes it possible to let us know when the controller is not confident in prediction and likely to fail.
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