Measuring driving styles and calibrating driving models
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United States of America
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Oct 29, 2024
Grant Date -
Mar 16, 2023
app pub date -
Sep 15, 2021
filing date -
Sep 15, 2021
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Abstract
A method is provided for driving model calibration. The method clusters a plurality of vehicle trajectories into a plurality of datasets for different driving styles based on a score. The score is calculated for each vehicle trajectory by an objective entropy weight method. The method trains, for each of the plurality of datasets for the different driving styles relative to an existing target driving model, a respective neural network which inputs a respective one of the plurality of datasets and outputs a respective parameter for the existing target driver model to obtain a plurality of trained neural networks. The existing target driver model is for simulating human driving behaviors. The method performs, for each trained neural network, an online adaptation of the existing target driving model based on a respective output of each of the plurality of trained neural networks to obtain a plurality of adapted driver models.
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