公开(公告)号：US20180225989A1

公开(公告)日：2018-08-09

申请号：US15424188

申请日：2017-02-03

Applicant: Honeywell International Inc.

Inventor： Michael Ray Elgersma ,  Benjamin Mohr

IPC: G09B23/04 ,  G06T9/20 ,  G06F17/30 ,  G01C21/00

CPC classification number: G09B23/04 ,  G01C21/00 ,  G06F17/30241 ,  G06F17/30244 ,  G06T7/13 ,  G06T9/20 ,  G06T17/00

Abstract: A method of generating a map for image aided navigation comprises detecting one or more edges in one or more terrain images, and obtaining a compressed edge representation of the one or more edges. The compressed edge representation is obtained by a method comprising fitting a geometric form or other mathematical model to the one or more edges, calculating one or more coefficients based on the fitted geometric form or other mathematical model, and storing the one or more coefficients in a database for use in generating the map for image aided navigation.

公开(公告)号：US09082008B2

公开(公告)日：2015-07-14

申请号：US13692436

申请日：2012-12-03

Applicant: Honeywell International Inc.

Inventor： Yunqian Ma ,  Benjamin Mohr ,  Christopher Jon Visker

IPC: G06K9/00 ,  G01C21/00 ,  G01C21/16 ,  G01C21/36 ,  G06T7/00

CPC classification number: G06K9/00476 ,  G01C21/005 ,  G01C21/165 ,  G01C21/3602 ,  G06K9/00214 ,  G06K9/00791 ,  G06T7/73 ,  G06T2207/10028 ,  G06T2207/30252

Abstract: Systems and methods for feature selection and matching are provided. In certain embodiments, a method for matching features comprises extracting a first plurality of features from current image data acquired from at least one sensor and extracting a second plurality of features from a prior map, wherein the prior map represents an environment containing the navigation system independently of data currently acquired by the at least one sensor. The method also comprises identifying at least one first feature in the first plurality of features and at least one second feature in the second plurality of features that have associated two-dimensional representations; and identifying at least one corresponding pair of features by comparing a three-dimensional representations of the at least one first feature to a three-dimensional representation of the at least one second feature.

Abstract translation: 提供了功能选择和匹配的系统和方法。 在某些实施例中，用于匹配特征的方法包括从从至少一个传感器获取的当前图像数据中提取第一多个特征并从先前的图提取第二多个特征，其中先前的映射表示独立地包含导航系统的环境 由至少一个传感器当前获取的数据。 该方法还包括识别第一多个特征中的至少一个第一特征以及具有相关二维表示的第二多个特征中的至少一个第二特征; 以及通过将所述至少一个第一特征的三维表示与所述至少一个第二特征的三维表示进行比较来识别至少一个对应的特征。

公开(公告)号：US20140153788A1

公开(公告)日：2014-06-05

申请号：US13692436

申请日：2012-12-03

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Yunqian Ma ,  Benjamin Mohr ,  Christopher Jon Visker

IPC: G06K9/00

CPC classification number: G06K9/00476 ,  G01C21/005 ,  G01C21/165 ,  G01C21/3602 ,  G06K9/00214 ,  G06K9/00791 ,  G06T7/73 ,  G06T2207/10028 ,  G06T2207/30252

Abstract: Systems and methods for feature selection and matching are provided. In certain embodiments, a method for matching features comprises extracting a first plurality of features from current image data acquired from at least one sensor and extracting a second plurality of features from a prior map, wherein the prior map represents an environment containing the navigation system independently of data currently acquired by the at least one sensor. The method also comprises identifying at least one first feature in the first plurality of features and at least one second feature in the second plurality of features that have associated two-dimensional representations; and identifying at least one corresponding pair of features by comparing a three-dimensional representations of the at least one first feature to a three-dimensional representation of the at least one second feature.

Abstract translation: 提供了功能选择和匹配的系统和方法。 在某些实施例中，用于匹配特征的方法包括从从至少一个传感器获取的当前图像数据中提取第一多个特征并从先前的图提取第二多个特征，其中先前的映射表示独立地包含导航系统的环境 由至少一个传感器当前获取的数据。 该方法还包括识别第一多个特征中的至少一个第一特征以及具有相关二维表示的第二多个特征中的至少一个第二特征; 以及通过将所述至少一个第一特征的三维表示与所述至少一个第二特征的三维表示进行比较来识别至少一个对应的特征。

公开(公告)号：US20140016118A1

公开(公告)日：2014-01-16

申请号：US13661809

申请日：2012-10-26

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Robert Compton ,  Benjamin Mohr ,  Nicholas C. Cirillo, JR.

IPC: G01C19/66 ,  G01P15/02

CPC classification number: G01N21/64 ,  G01C19/58 ,  G01C21/16 ,  G01N21/00 ,  G01P15/08 ,  G01P15/18 ,  G01P21/00

Abstract: An inertial sensing system comprises a first multi-axis atomic inertial sensor, a second multi-axis atomic inertial sensor, and an optical multiplexer optically coupled to the first and second multi-axis atomic inertial sensors. The optical multiplexer is configured to sequentially direct light along different axes of the first and second multi-axis atomic inertial sensors. A plurality of micro-electrical-mechanical systems (MEMS) inertial sensors is in operative communication with the first and second multi-axis atomic inertial sensors. Output signals from the first and second multi-axis atomic inertial sensors aid in correcting errors produced by the MEMS inertial sensors by sequentially updating output signals from the MEMS inertial sensors.

Abstract translation: 惯性感测系统包括第一多轴原子惯性传感器，第二多轴原子惯性传感器和与第一和第二多轴原子惯性传感器光耦合的光学多路复用器。 光复用器被配置为顺序地引导沿着第一和第二多轴原子惯性传感器的不同轴的光。 多个微机电系统（MEMS）惯性传感器与第一和第二多轴原子惯性传感器操作性地通信。 来自第一和第二多轴原子惯性传感器的输出信号有助于通过依次更新来自MEMS惯性传感器的输出信号来校正由MEMS惯性传感器产生的误差。