公开(公告)号：US11928830B2

公开(公告)日：2024-03-12

申请号：US17645591

申请日：2021-12-22

Applicant: Honeywell International Inc.

Inventor： Zhiguo Ren ,  Alberto Speranzon ,  Carl Dins ,  Juan Hu ,  Zhiyong Dai ,  Vijay Venkataraman

IPC: G06T7/521 ,  G06T7/593 ,  G06T17/10

CPC classification number: G06T7/521 ,  G06T7/593 ,  G06T17/10 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Disclosed are methods and systems for generating three-dimensional reconstructions of environments. A system, for example, may include a housing having an image sensor directed in a first direction and a distance sensor directed in a second direction and a control unit including a processor and a memory storing instructions. The processor may be configured to execute the instructions to: generate a first 3D model of an environment; generate a plurality of revolved 3D models by revolving the first 3D model relative to the image sensor to a plurality of positions within a predetermined angular range; match a set of distance values to one of the revolved 3D models; determine an angular position of the second direction relative to the first direction; and generate a 3D reconstruction of the environment.

公开(公告)号：US11741702B2

公开(公告)日：2023-08-29

申请号：US17076579

申请日：2020-10-21

Applicant: Honeywell International Inc.

Inventor： Carl Arthur Dins ,  Alberto Speranzon ,  Vijay Venkataraman ,  Juan Hu ,  Zhiyong Dai

IPC: G06T7/55 ,  G06T7/73 ,  G05D1/10 ,  G01S13/89 ,  G01S17/89 ,  G06V20/13

CPC classification number: G06V20/13 ,  G01S13/89 ,  G01S17/89 ,  G05D1/106 ,  G06T7/55 ,  G06T7/73 ,  G06T2207/10044 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30181

Abstract: An unmanned aerial vehicle (UAV) navigation system is configured to automatically identify a suitable UAV landing site, for example, in forced-landing (e.g., emergency) scenarios. In some examples, the system receives two or more overlapping images depicting a landscape underneath an airborne unmanned aerial vehicle (UAV); generates, based on the two or more overlapping images, a depth map for the landscape; identifies, based on the depth map, regions of the landscape having a depth variance below a threshold value; determines, for each of the regions of the landscape having a depth variance below the threshold value, a landing zone quality score indicative of the depth variance and a semantic type of the region of the landscape; identifies, based on the landing zone quality scores, a suitable location for landing the UAV; and causes the UAV to automatically navigate toward and land on the suitable location.

公开(公告)号：US10997967B2

公开(公告)日：2021-05-04

申请号：US16388647

申请日：2019-04-18

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Luning Wang ,  Wei Yang ,  Zhiyong Dai

IPC: G10L15/06 ,  G10L21/0364 ,  B64D43/00

Abstract: A method for initializing a device for performing acoustic speech recognition (ASR) using an ASR model, by a computer system including at least one processor and a system memory element. The method includes obtaining a plurality of voice data articulations of predetermined phrases, by the at least one processor via a user interface. The plurality of voice data articulations includes a first quantity of audio samples of actual articulated voice data, and each of the plurality of voice data articulations includes one of the audio samples including acoustic frequency components. The method further includes performing a plurality of augmentations to the plurality of voice data articulations of predetermined phrases, to generate a corpus audio data set that includes the first quantity of audio samples and a second quantity of audio samples including augmented versions of the first quantity of audio samples.

公开(公告)号：US20220121836A1

公开(公告)日：2022-04-21

申请号：US17076579

申请日：2020-10-21

Applicant: Honeywell International Inc.

Inventor： Carl Arthur Dins ,  Alberto Speranzon ,  Vijay Venkataraman ,  Juan Hu ,  Zhiyong Dai

IPC: G06K9/00 ,  G06T7/55 ,  G06T7/73 ,  G05D1/10 ,  G01S13/89 ,  G01S17/89

Abstract: An unmanned aerial vehicle (UAV) navigation system is configured to automatically identify a suitable UAV landing site, for example, in forced-landing (e.g., emergency) scenarios. In some examples, the system receives two or more overlapping images depicting a landscape underneath an airborne unmanned aerial vehicle (UAV); generates, based on the two or more overlapping images, a depth map for the landscape; identifies, based on the depth map, regions of the landscape having a depth variance below a threshold value; determines, for each of the regions of the landscape having a depth variance below the threshold value, a landing zone quality score indicative of the depth variance and a semantic type of the region of the landscape; identifies, based on the landing zone quality scores, a suitable location for landing the UAV; and causes the UAV to automatically navigate toward and land on the suitable location.

公开(公告)号：US20200335084A1

公开(公告)日：2020-10-22

申请号：US16388647

申请日：2019-04-18

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Luning Wang ,  Wei Yang ,  Zhiyong Dai

IPC: G10L15/06 ,  G10L21/0364 ,  B64D43/00

Abstract: A method for initializing a device for performing acoustic speech recognition (ASR) using an ASR model, by a computer system including at least one processor and a system memory element. The method includes obtaining a plurality of voice data articulations of predetermined phrases, by the at least one processor via a user interface. The plurality of voice data articulations includes a first quantity of audio samples of actual articulated voice data, and each of the plurality of voice data articulations includes one of the audio samples including acoustic frequency components. The method further includes performing a plurality of augmentations to the plurality of voice data articulations of predetermined phrases, to generate a corpus audio data set that includes the first quantity of audio samples and a second quantity of audio samples including augmented versions of the first quantity of audio samples.