公开(公告)号：US09928213B2

公开(公告)日：2018-03-27

申请号：US14838328

申请日：2015-08-27

Applicant: QUALCOMM Incorporated

Inventor： Xin Wang ,  Young Cheul Yoon ,  Bardia Fallah Behabadi

IPC: G06F17/10 ,  G06F17/14 ,  G06N99/00 ,  H04N19/60 ,  G06N3/04

CPC classification number: G06F17/141 ,  G06F17/14 ,  G06N3/049 ,  G06N99/005 ,  H04N19/60

Abstract: A method of processing asynchronous event-driven input samples of a continuous time signal includes calculating a short-time Fourier transform (STFT) output based on the event-driven input samples. The STFT output may be calculated by expressing an encoding pulse and an STFT window function as a sum of complex weighted causal complex exponentials. The method further includes interpolating output between events.

公开(公告)号：US09721204B2

公开(公告)日：2017-08-01

申请号：US14065388

申请日：2013-10-28

Applicant: QUALCOMM Incorporated

Inventor： Michael Campos ,  Casimir Matthew Wierzynski ,  Bardia Fallah Behabadi

IPC: G06F15/00 ,  G06F17/00 ,  G06N3/10 ,  G06N3/08 ,  G06N3/04 ,  G08B17/00

CPC classification number: G06N3/082 ,  G06N3/04 ,  G06N3/049 ,  G06N3/10 ,  G06N3/105 ,  G08B17/005

Abstract: An artificial neural network may be configured to test the impact of certain input parameters. To improve testing efficiency and to avoid test runs that may not alter system performance, the effect of input parameters on neurons or groups of neurons may be determined to classify the neurons into groups based on the impact of certain parameters on those groups. Groups may be ordered serially and/or in parallel based on the interconnected nature of the groups and whether the output of neurons in one group may affect the operation of another. Parameters not affecting group performance may be pruned as inputs to that particular group prior to running system tests, thereby conserving processing resources during testing.

公开(公告)号：US10093021B2

公开(公告)日：2018-10-09

申请号：US15192719

申请日：2016-06-24

Applicant: QUALCOMM Incorporated

Inventor： Aliakbar Aghamohammadi ,  Serafin Diaz Spindola ,  Bardia Fallah Behabadi ,  Christopher Lott ,  Shayegan Omidshafiei ,  Kiran Somasundaram ,  Sarah Paige Gibson ,  Casimir Matthew Wierzynski ,  Saurav Agarwal ,  Gerhard Reitmayr

IPC: B25J9/16 ,  G05D1/02 ,  G01C21/20 ,  G01C21/32

Abstract: A method substantially simultaneously plans a path and maps an environment by a robot. The method determines a mean of an occupancy level for a location in a map. The method also includes determining a probability distribution function (PDF) of the occupancy level. The method further includes calculating a cost function based on the PDF. Finally, the method includes simultaneously planning the path and mapping the environment based on the cost function.

公开(公告)号：US10705528B2

公开(公告)日：2020-07-07

申请号：US15249250

申请日：2016-08-26

Applicant: QUALCOMM Incorporated

Inventor： Casimir Matthew Wierzynski ,  Bardia Fallah Behabadi ,  Sarah Paige Gibson ,  Aliakbar Aghamohammadi ,  Saurav Agarwal

IPC: G05D1/02 ,  G01C21/00 ,  G01C21/20 ,  G05D1/00 ,  G06K9/00 ,  G06T17/05

Abstract: A method of visual navigation for a robot includes integrating a depth map with localization information to generate a three-dimensional (3D) map. The method also includes motion planning based on the 3D map, the localization information, and/or a user input. The motion planning overrides the user input when a trajectory and/or a velocity, received via the user input, is predicted to cause a collision.