Training a Neural Network to Select Objects
AssigneeAptiv Technologies AG
InventorsMateusz Komorkiewicz, Marcin Szelest
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Abstract
Disclosed is a computer-implemented method of training a neural network to select objects in a vicinity of a target vehicle, including: aggregating sensor data related to the plurality of vehicles; filtering the sensor data according to one or more conditions, said conditions identifying an action of an ADAS/AD system of at least one of the plurality of vehicles; identifying one or more objects in the vicinity of target vehicle based on the filtered sensor data; and using the identified one or more objects to train the neural network to determine potential objects that cause a triggering of an ADAS/AD system of another vehicle.
Claims20
A computer-implemented method comprising:
- aggregating sensor data related to a plurality of vehicles;
- filtering the sensor data according to one or more conditions, the conditions identifying an action of an advanced driver-assistance system/autonomous driving system (ADAS/AD system) of at least one of the plurality of vehicles;
- identifying one or more objects in a vicinity of a target vehicle based on the filtered sensor data;
- and
- using the identified one or more objects to train a neural network to determine potential objects that cause a triggering of an ADAS/AD system of another vehicle.
A system comprising:
- an acquiring unit configured to acquire sensor-based data related to a plurality of vehicles;
- a processing unit configured to:
- aggregate the sensor data;
- filter the sensor data according to one or more conditions, the conditions identifying an action of an advanced driver-assistance system/autonomous driving system (ADAS/AD system) of at least one of the plurality of vehicles;
- identify one or more objects in a vicinity of a target vehicle based on the filtered sensor data;
- and
- use the identified one or more objects to train a neural network to determine one or more objects that cause a corrective action of an ADAS/AD system of another vehicle;
- and
- a communication unit configured to report the determined one or more objects to at least one of another vehicle, a traffic infrastructure unit, or a cloud server.
Dependencies are inferred from the claim text.