公开(公告)号：US20240167833A1

公开(公告)日：2024-05-23

申请号：US18425595

申请日：2024-01-29

Applicant: GOOGLE LLC

Inventor： Vikram Aggarwal ,  Steven B. Huang

IPC: G01C21/36

CPC classification number: G01C21/3608 ,  G01C21/3617

Abstract: Implementations set forth herein relate to pre-emptively initializing an automated assistant in a vehicle according to certain indications, in order to reduce latency while also seeking to preserve computational resources. In some implementations, data for effectuating one or more features of an automated assistant can be loaded into memory of a computing device based on vehicle interaction data. For example, the vehicle interaction data can characterize instances in which the user, from within their vehicle, invoked the automated assistant within a threshold period of time of an application completing an operation. Based on the vehicle interaction data, subsequent instances of the operation being completed while the user is in the vehicle can cause data to be loaded into memory in order to pre-emptively prepare the automated assistant to be utilized by the user.

公开(公告)号：US20220333947A1

公开(公告)日：2022-10-20

申请号：US17231926

申请日：2021-04-15

Applicant: Google LLC

Inventor： Vikram Aggarwal ,  Steven B. Huang

IPC: G01C21/36

Abstract: Implementations set forth herein relate to pre-emptively initializing an automated assistant in a vehicle according to certain indications, in order to reduce latency while also seeking to preserve computational resources. In some implementations, data for effectuating one or more features of an automated assistant can be loaded into memory of a computing device based on vehicle interaction data. For example, the vehicle interaction data can characterize instances in which the user, from within their vehicle, invoked the automated assistant within a threshold period of time of an application completing an operation. Based on the vehicle interaction data, subsequent instances of the operation being completed while the user is in the vehicle can cause data to be loaded into memory in order to pre-emptively prepare the automated assistant to be utilized by the user.

公开(公告)号：US12203767B2

公开(公告)日：2025-01-21

申请号：US18425595

申请日：2024-01-29

Applicant: GOOGLE LLC

Inventor： Vikram Aggarwal ,  Steven B. Huang

IPC: G01C21/36

Abstract: Implementations set forth herein relate to pre-emptively initializing an automated assistant in a vehicle according to certain indications, in order to reduce latency while also seeking to preserve computational resources. In some implementations, data for effectuating one or more features of an automated assistant can be loaded into memory of a computing device based on vehicle interaction data. For example, the vehicle interaction data can characterize instances in which the user, from within their vehicle, invoked the automated assistant within a threshold period of time of an application completing an operation. Based on the vehicle interaction data, subsequent instances of the operation being completed while the user is in the vehicle can cause data to be loaded into memory in order to pre-emptively prepare the automated assistant to be utilized by the user.

公开(公告)号：US11885632B2

公开(公告)日：2024-01-30

申请号：US17231926

申请日：2021-04-15

Applicant: Google LLC

Inventor： Vikram Aggarwal ,  Steven B. Huang

IPC: G01C21/36

CPC classification number: G01C21/3608 ,  G01C21/3617

Abstract: Implementations set forth herein relate to pre-emptively initializing an automated assistant in a vehicle according to certain indications, in order to reduce latency while also seeking to preserve computational resources. In some implementations, data for effectuating one or more features of an automated assistant can be loaded into memory of a computing device based on vehicle interaction data. For example, the vehicle interaction data can characterize instances in which the user, from within their vehicle, invoked the automated assistant within a threshold period of time of an application completing an operation. Based on the vehicle interaction data, subsequent instances of the operation being completed while the user is in the vehicle can cause data to be loaded into memory in order to pre-emptively prepare the automated assistant to be utilized by the user.