公开(公告)号：US20180232907A1

公开(公告)日：2018-08-16

申请号：US15641510

申请日：2017-07-05

Applicant: QUALCOMM Incorporated

Inventor： Chiachi SUNG ,  Gary MCGRATH ,  Christopher BRUNNER

IPC: G06T7/80 ,  H04N17/00 ,  G06T7/73

Abstract: Embodiments include devices and methods for automatically calibrating a camera. In various embodiments, an image sensor may capture an image. Locations of one or more points including in the captured image frames may be predicted and detected. Calibration parameters may be calculated based on differences between predicted locations of a selected point within an image frame and observed locations of the selected point within the captured image frame. The automatic camera calibration method may be repeated until the calibration parameters satisfy a calibration quality threshold.

公开(公告)号：US20190011932A1

公开(公告)日：2019-01-10

申请号：US15641735

申请日：2017-07-05

Applicant: QUALCOMM Incorporated

Inventor： Gary MCGRATH

IPC: G05D1/08 ,  G01C23/00

CPC classification number: G05D1/0808 ,  B64C39/024 ,  B64C2201/027 ,  B64C2201/042 ,  B64C2201/108 ,  B64C2201/127 ,  B64C2201/141 ,  B64D47/08 ,  B64G1/244 ,  G01C23/00 ,  G05D1/0094 ,  G05D1/0875 ,  G05D1/0891

Abstract: Various embodiments involve controlling rotational maneuvers of a robotic vehicle (e.g., an unmanned aerial vehicle or UAV) so that commanded changes in vehicle attitude (e.g., pitch, roll, and/or yaw) may be performed as rotations about a center of sensing of a sensor instead of the vehicle's center of gravity. Maneuvers performed according to various embodiments may reduce or eliminate translational movements in the sensor output that occur when the robotic vehicle rotates about the center of gravity and the sensor is mounted some distance from the center of gravity.

公开(公告)号：US20240354363A1

公开(公告)日：2024-10-24

申请号：US18639845

申请日：2024-04-18

Applicant: QUALCOMM Incorporated

Inventor： Pierre-David LETOURNEAU ,  Rania HASSEN ,  Gary MCGRATH ,  Matthew Harper LANGSTON

IPC: G06F17/11

CPC classification number: G06F17/11

Abstract: Methods, systems, and media for solving quadratic optimization problems are disclosed herein. In some embodiments, a method may involve receiving, by one or more processors, a first quadratic optimization problem comprising an objective and a set of inequality constraints. The method may involve obtaining an initial solution to the first quadratic optimization problem subject to the set of inequality constraints. The method may involve identifying a subset of the set of inequality constraints that are active constraints with respect to an optimal solution. The method may involve obtaining an updated solution to the first quadratic optimization problem by solving a second quadratic optimization problem that corresponds to optimizing the objective subject to the active constraints. The method may involve determining an accuracy and precision associated with the updated solution.