Navigating autonomous vehicles based on modulation of a world model representing traffic entities
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United States of America Patent
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Dec 6, 2022
Grant Date -
Jul 30, 2020
app pub date -
Jan 30, 2020
filing date -
Jan 30, 2019
priority date (Note) -
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status (Latency Note)
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Abstract
An autonomous vehicle uses machine learning based models to predict hidden context attributes associated with traffic entities. The system uses the hidden context to predict behavior of people near a vehicle in a way that more closely resembles how human drivers would judge the behavior. The system determines an activation threshold value for a braking system of the autonomous vehicle based on the hidden context. The system modifies a world model based on the hidden context predicted by the machine learning based model. The autonomous vehicle is safely navigated, such that the vehicle stays at least a threshold distance away from traffic entities.
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