公开(公告)号：US20240403630A1

公开(公告)日：2024-12-05

申请号：US18328407

申请日：2023-06-02

Applicant: Honda Motor Co., Ltd.

Inventor： Fatemeh KOOCHAKIGHERMEZCHESHME ,  Zhaobo ZHENG ,  Kumar AKASH ,  Teruhisa MISU

IPC: G06N3/08

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.