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US 12,709,252 B2Granted
Detecting road conditions based on braking event data received from vehicles
OwnerGil Golovinventor
Life of this patent
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Abstract
Data is received regarding vehicle braking events, each event occurring on one of a plurality of vehicles, and each event associated with a location. A determination is made that the braking events correspond to a pattern. Based on determining that the braking events correspond to the pattern, a first location is identified. In response to identifying the first location, at least one action is performed.
Claims20
An apparatus comprising:
- at least one processor;
- and
- memory storing instructions configured to instruct the at least one processor to:
- determine, using map data compiled from a plurality of vehicles, that an artificial neural network (ANN) of a vehicle is failing to properly operate;
- and
- in response to determining that the ANN is failing to properly operate, cause a change to the vehicle.
3 more elements
An apparatus comprising:
- at least one processor;
- and
- memory storing instructions configured to instruct the at least one processor to:
- receive first data from a vehicle;
- evaluate the first data in association with map data compiled from a plurality of vehicles;
- generate, in response to the evaluation, an updated artificial neural network (ANN);
- and
- load the updated ANN into the vehicle.
5 more elements
An apparatus comprising:
- at least one processor;
- and
- memory storing instructions configured to instruct the at least one processor to:
- receive first data from sensors of a plurality of vehicles;
- store map data that is based at least in part on the first data;
- evaluate, using the first map data, an artificial neural network (ANN) of a vehicle;
- and
- in response to the evaluation, cause an action by the vehicle.
5 more elements
Dependencies are inferred from the claim text.