CPC B60W 50/06 (2013.01) [B60W 60/001 (2020.02); G05B 13/027 (2013.01)] | 20 Claims |
1. A method, comprising:
executing a simulated operation of a vehicle in a scene, the vehicle comprising a sensor suite configured to detect the scene and to generate sensor data, the sensor suite comprising one or more sensors;
controlling the operation of the vehicle by using a deep neural network (DNN) that is configured to receive the sensor data as an input and to output a control signal, the vehicle configured to operate in accordance with the control signal;
determining a learning score, the learning score indicating a cost associated with the DNN;
determining a performance score based on an evaluation of a performance of the vehicle during the operation of the vehicle in the scene; and
modifying a parameter associated with the DNN based on the learning score and the performance score.
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