Adaptive driving style
AssigneeHonda Motor Co., Ltd.
InventorsFatemeh KOOCHAKIGHERMEZCHESHME, Zhaobo ZHENG, Kumar AKASH, Teruhisa MISU
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Abstract
Siamese neural network (SNN) based adaptive driving style prediction may be achieved by calculating a first distance between the input data and a first class of a set of anchor data using a trained SNN, calculating a second distance between the input data and a second class of the set of anchor data using the trained SNN, and generating an adaptive driving style prediction based on the first distance and the second distance. The trained SNN may be trained based on two or more sensor signals received during a training phase, a distance-based loss for the two or more sensor signals from the training phase, and by back-propagating the distance-based loss.
Claims20
A system for Siamese neural network (SNN) based adaptive driving style prediction, comprising:
- a set of two or more sensors receiving two or more sensor signals;
- a memory storing one or more instructions;
- a processor executing one or more of the instructions stored on the memory to perform:
- training a SNN based on two or more of the sensor signals as input and a distance-based loss for the two or more sensor signals;
- and
- back-propagating the distance-based loss to further train the SNN.
A system for Siamese neural network (SNN) based adaptive driving style prediction, comprising:
- a set of two or more sensors receiving two or more sensor signals as input data;
- a memory storing one or more instructions;
- a processor executing one or more of the instructions stored on the memory to perform:
- calculating a first distance between the input data and a first class of a set of anchor data using a trained SNN;
- calculating a second distance between the input data and a second class of the set of anchor data using the trained SNN;
- and
- generating an adaptive driving style prediction based on the first distance and the second distance,
- wherein the trained SNN is trained based on two or more sensor signals received during a training phase, a distance-based loss for the two or more sensor signals from the training phase, and by back-propagating the distance-based loss.
A computer-implemented method for Siamese neural network (SNN) based adaptive driving style prediction, comprising:
- calculating a first distance between input data including two or more sensor signals and a first class of a set of anchor data using a trained SNN;
- calculating a second distance between the input data and a second class of the set of anchor data using the trained SNN;
- and
- generating an adaptive driving style prediction based on the first distance and the second distance,
- wherein the trained SNN is trained based on two or more sensor signals received during a training phase, a distance-based loss for the two or more sensor signals from the training phase, and by back-propagating the distance-based loss.
Dependencies are inferred from the claim text.