公开(公告)号：US20230169343A1

公开(公告)日：2023-06-01

申请号：US18154148

申请日：2023-01-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Hsiao-Ying LIN

IPC: G06N3/08 ,  G06F9/455

CPC classification number: G06N3/08 ,  G06F9/45558 ,  G06F2009/4557

Abstract: A data processing apparatus for an intelligent vehicle has a plurality of virtual machines disposed therein, and a first neural network model corresponding to a sensor group in a machine learning model is disposed in one virtual machine. The machine learning model performs calculation on detection data of a corresponding sensor group in an independent virtual machine. Subsequently, all first neural network models in the plurality of virtual machines send output results of detection data of a plurality of sensor groups to a second neural network model, and the second neural network model obtains, based on the plurality of output results, a fusion output result used to indicate vehicle driving parameter information.

公开(公告)号：US20220334824A1

公开(公告)日：2022-10-20

申请号：US17854441

申请日：2022-06-30

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Girish REVADIGAR ,  Hsiao-Ying LIN ,  Zhuo WEI

IPC: G06F8/65 ,  G06F8/71 ,  H04L67/00

Abstract: Embodiments of this application provide a method for managing software versions of an electronic device in a vehicle and a relevant device, the method including: transmitting an update bundle to a target vehicle; receiving an update response from the target vehicle, wherein the update response is used to indicate one or more patches which have been successfully installed among the N patches; updating a vehicle version tree corresponding to the target vehicle according to the update response to obtain an updated VVT. The above-mentioned technical solution provides a lightweight and efficient version control mechanism for maintaining the software versions for each the electronic devices in a vehicle.