Machine learning system for roadway feature extraction from wireless vehicle data
OwnerAhmed Sakrinventor
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OwnerAhmed Sakrinventor
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The disclosure includes embodiments for extracting roadway features from Vehicle-to-Everything (V2X) data to build a map having an improved accuracy. In some embodiments, a method for a connected vehicle includes transmitting, via a communication unit of the connected vehicle, a V2X message that includes V2X data. The method includes receiving, via the communication unit, map data describing a map that depicts one or more roadway features in a roadway region of the connected vehicle. The one or more roadway features are generated through a vehicle clustering analysis based on an aggregation of the V2X data in the roadway region so that an accuracy of the map is improved. The method includes modifying an operation of a vehicle control system of the connected vehicle based on the map data to improve the operation of the connected vehicle by reducing a risk of a collision involving the connected vehicle.
A computer program product comprising a non-transitory memory storing computer-executable code that, when executed by a processor, causes the processor to:
A method, comprising:
A system comprising:
Dependencies are inferred from the claim text.