公开(公告)号：US20250124265A1

公开(公告)日：2025-04-17

申请号：US18544169

申请日：2023-12-18

Applicant: QUALCOMM Incorporated

Inventor： Mingu LEE ,  Kanghwan JANG ,  Christopher LOTT ,  Liang ZHANG

IPC: G06N3/048

Abstract: A processor-implemented method determines a practical domain for a following function in a following layer of an artificial neural network. The artificial neural network includes a leading function in a leading layer and the following function in the following layer, which is a subsequent consecutive layer of the artificial neural network. The method also sets a first quantization range of an output activation of the leading function based on the practical domain.

公开(公告)号：US20190208120A1

公开(公告)日：2019-07-04

申请号：US16331912

申请日：2016-09-23

Applicant: QUALCOMM Incorporated

Inventor： Yin HUANG ,  Jiangtao REN ,  Xiaoyi ZHU ,  Liang ZHANG ,  Ruowei WANG

IPC: H04N5/232 ,  B64C39/02 ,  G06T3/60 ,  G06T7/246

CPC classification number: H04N5/23229 ,  B64C39/024 ,  B64C2201/141 ,  B64D47/08 ,  G06K9/0063 ,  G06K9/3233 ,  G06T3/60 ,  G06T5/006 ,  G06T7/246 ,  G06T7/70 ,  G06T2207/10016 ,  G06T2207/10032 ,  G06T2207/30208 ,  G06T2207/30244 ,  H04N5/23267

Abstract: Embodiments include devices and methods for processing an image captured by an image sensor of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine a body coordinate matrix of the UAV. The processor may determine an estimated rotation of the image sensor of the UAV. The processor may determine an estimated rotation of the UAV. The processor may transform an image captured by the image sensor based on the body coordinate matrix, the estimated rotation of the image sensor, and the estimated rotation of the UAV.

公开(公告)号：US20190174063A1

公开(公告)日：2019-06-06

申请号：US16324351

申请日：2016-09-23

Applicant: QUALCOMM Incorporated

Inventor： Yin HUANG ,  Liang ZHANG ,  Xiaoyi ZHU ,  Ruowei WANG ,  Jiangato REN

IPC: H04N5/232 ,  G06T5/00 ,  B64D47/08 ,  B64C39/02

Abstract: Embodiments include devices and methods for adaptive image processing in an umnanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image. Images may be obtained during motion or hover modes of the UAV. The UAV may determine whether stabilizing a line of the image causes a breach of an image crop margin. That is, the UAV may estimate or begin to adjust image distortion and crop the image, and may evaluate during or after the estimation/adjustment whether an image crop margin is breached by the result. The UAV may reduce stabilizing of the line of the image in response to determining that stabilizing the line of the image causes a breach of the image crop margin.

公开(公告)号：US20190057212A1

公开(公告)日：2019-02-21

申请号：US16080200

申请日：2016-03-01

Applicant: Haijun ZHAO ,  Jilei HOU ,  Liang ZHANG ,  QUALCOMM INCORPORATED

Inventor： Haijun ZHAO ,  Jilei HOU ,  Liang ZHANG

IPC: G06F21/53 ,  G06Q20/38 ,  G06Q20/40

Abstract: Aspects of the disclosure are related to a method, apparatus, and system for using display content from a rich operating system (OS) environment as a background image in a trusted user interface (UI), comprising: capturing a display buffer of the rich OS environment; passing the captured display buffer to a Trusted Application; and displaying, with the Trusted Application, the captured display buffer as the background image in the trusted UI, wherein the Trusted Application is executed in a Trusted Execution Environment (TEE).

公开(公告)号：US20190182428A1

公开(公告)日：2019-06-13

申请号：US16324308

申请日：2017-02-24

Applicant: QUALCOMM Incorporated

Inventor： Yin HUANG ,  Liang ZHANG ,  Xiaoyi ZHU ,  Ruowei WANG ,  Jiangtao REN

IPC: H04N5/232 ,  B64D47/08 ,  B64C39/02

Abstract: Embodiments include devices and methods for adaptive image processing in an unmanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image, while a processor of the UAV obtains attitude information from one or more attitude sensors. Such information may include the relative attitude of the UAV and changes in attitude. The processor of the UAV may determine a UAV motion mode based, at least in part, on the obtained attitude information. The UAV motion mode may result in the modification of yaw correction parameters. The processor of the UAV may further execute yaw filtering on the image based, at least in part, on the determined motion mode.