公开(公告)号：US20220234752A1

公开(公告)日：2022-07-28

申请号：US17155983

申请日：2021-01-22

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Zhong Chen ,  Gang He ,  Min Wu ,  Carl Dins

IPC: B64D43/00 ,  H04L29/08 ,  G06K9/20 ,  G06K9/00 ,  G06T7/73 ,  B64D45/00 ,  B64D45/08 ,  G05D1/10

Abstract: The present disclosure provides computer vision systems and methods for an aircraft. The computer vision systems and methods identify a runway based on video frame data from a camera mounted to the aircraft, extract runway pixel positions associated with the runway, determine the aircraft position in a real world coordinate frame based on the pixel positions, the aircraft position including an aircraft lateral position and an aircraft elevation, receive predefined aircraft position data and go-around rules for a compliant approach to the runway, calculate an aircraft position deviation based on the aircraft position and the predefined aircraft position data, determine whether the aircraft position deviation is in conformance with the go-around rules, and output an indication of conformity with the go-around rules.

公开(公告)号：US11851215B2

公开(公告)日：2023-12-26

申请号：US17332236

申请日：2021-05-27

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Zuowei He ,  Gang He ,  Zhiguo Ren ,  Zhong Chen

IPC: B64F5/60 ,  B64D43/00 ,  B64D45/08 ,  B64D47/06 ,  B64D47/08 ,  G06K9/00 ,  G06N3/08 ,  G06V20/58 ,  G06V20/56

CPC classification number: B64F5/60 ,  B64D43/00 ,  B64D45/08 ,  B64D47/06 ,  B64D47/08 ,  G06N3/08 ,  G06V20/582 ,  G06V20/588

Abstract: Systems and methods for calibrating a synthetic image on an avionic display. The method includes receiving a synthetic image frame generated by an avionic display system and a sensor image frame from a forward-facing onboard sensor system. Object recognition is performed on the sensor image frame to generate a first search region for a first Federal Aviation Administration (FAA) marking, defined as a first search region-FAA marking pair. The sensor image frame and the first search region-FAA marking pair are processed using a deep learning method (DLM) to determine for the first FAA marking of the first search region-FAA marking pair, each of: a position deviation calculation, an orientation deviation calculation, and a synthetic image distortion factor. The synthetic image frame is then updated and rendered in accordance with the position deviation calculation, the orientation deviation calculation, and the synthetic image distortion factor, thereby calibrating the synthetic image frame.

公开(公告)号：US20180025653A1

公开(公告)日：2018-01-25

申请号：US15219235

申请日：2016-07-25

Applicant: Honeywell International Inc.

Inventor： Guoqing Wang ,  Rong Zhang ,  Zhong Chen ,  Ruy C. Brandao ,  Yang Liu

IPC: G08G5/04

CPC classification number: G08G5/065 ,  G08G5/0008 ,  G08G5/0013 ,  G08G5/0021 ,  G08G5/0026 ,  G08G5/0043 ,  G08G5/0078 ,  G08G5/0082 ,  G08G5/045

Abstract: A system is described that is configured to receive surveillance data from a vehicle, determine a location of the vehicle based at least in part on the received surveillance data, and determine a course of the vehicle based at least in part on the received surveillance data. The system is further configured to predict a future vehicle maneuver for the vehicle based at least in part on the location and the course of the vehicle, and based at least in part on a set of protocol data indicating one or more standard procedures for one or more vehicle maneuvers. The system is further configured to determine, based at least in part on the predicted future vehicle maneuver, a modified protection volume for the vehicle that is modified relative to a baseline protection volume for the vehicle. The system is further configured to generate an output based on the modified protection volume.