Methods and apparatuses for late lane change prediction and mitigation
Number of patents in Portfolio can not be more than 2000
United States of America
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Feb 25, 2025
Grant Date -
Dec 21, 2023
app pub date -
May 31, 2022
filing date -
May 31, 2022
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Abstract
A network apparatus, for example, obtains probe data corresponding to a respective vehicle making a late lane change while traversing a TME of a traversable network. Location information indicating a location of the late lane change is extracted from the probe data. Map, weather, and/or traffic data for the location is obtained. A late lane change feature description is generated based on information extracted from the probe data and the map, weather, and/or traffic data. A model is trained using a machine learning technique and training data comprising the late lane change feature description. The model is executed to generate a late lane change prediction corresponding to a TME of a digital map. The network apparatus causes at least one of (a) the digital map to be updated, (b) traffic data corresponding to the TME to be updated, or (c) a navigation-related function to be performed based on the prediction.
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