-
公开(公告)号：US20240212512A1
公开(公告)日：2024-06-27
申请号：US18069672
申请日：2022-12-21
Applicant: THE BOEING COMPANY
Inventor： Michael Christian Büddefeld , Hugo Eduardo Teomitzi , Anna-Lisa Mautes
IPC: G08G5/00
CPC classification number: G08G5/006 , G08G5/0026 , G08G5/0034 , G08G5/0039 , G08G5/0043 , G08G5/0082
Abstract: A method includes obtaining, at a device, source and destination data for one or more upcoming flights through a particular airspace. The method also includes obtaining, at the device, a map of societal impact hotspots associated with traffic through the particular airspace, and generating, based on the map of societal impact hotspots, a set of trajectories for the one or more upcoming flights through the particular airspace.
-
Patent Agency Ranking
公开(公告)号：US11514798B2
公开(公告)日：2022-11-29
申请号：US16863225
申请日：2020-04-30
Applicant: The Boeing Company
Abstract: A system and method for conducting preflight planning for autonomous flight missions of unmanned aerial vehicles (UAVs). The system includes use of a controller to conduct quantitative risk assessments of available digital data to predict low risk flight routes based on estimated flight risk profiles. The flight risk profiles may be based upon flight safety-critical information, including real time regulatory, airspace, obstacle, and infrastructure data sets. Among other data sets, the flight risk profiles may also account for current weather, current population and traffic data, and aircraft operational data specific to the UAV involved. Each risk assessment can generate a flight risk profile dependent on proposed times of travel, from which a low risk route may be predicted for any impending autonomous aircraft flight. Such risk assessments may enhance chances of expeditious regulatory acceptance of flight plans for such predetermined flight routes.
-
公开(公告)号：US20240185731A1
公开(公告)日：2024-06-06
申请号：US18061021
申请日：2022-12-02
Applicant: THE BOEING COMPANY
Inventor： Michael Christian Büddefeld , Hugo Eduardo Teomitzi
CPC classification number: G08G5/0091 , G01W1/10 , G08G5/0017
Abstract: Micro-weather risk mapping for very low-level aerial vehicles includes receiving data indicating a first geographic area; obtaining meteorologic data for a second geographic area, wherein the first geographic area is smaller than and entirely bounded by the second geographic area; determining topographic parameters associated with the first geographic area; performing a comparison of the topographic parameters associated with the first geographic area to topographic parameters associated with a plurality of predetermined micro-weather models; selecting a micro-weather model from among the plurality of predetermined micro-weather models based on the comparison; and determining, based on the meteorologic data for the second geographic area and the micro-weather model, risk data indicative of risk of particular meteorological conditions in the first geographic area.
-
公开(公告)号：US20210287558A1
公开(公告)日：2021-09-16
申请号：US16819787
申请日：2020-03-16
Applicant: The Boeing Company
Inventor： Jonas Schulze , Michael Christian Büddefeld , Hugo Eduardo Teomitzi
Abstract: A method includes separating a flight plan of a vehicle into a number of portions with each portion including a particular length that is determined based on a complexity of an environment where the flight plan takes place. The complexity of the environment is based on at least one of a set of factors including at least one of a terrain of the environment, one or more obstacles, one or more no-fly zones, or one or more no-landing zones within the environment. The method also includes determining an escape route for each portion of the flight plan. The escape route includes a route to a safe landing site in response to a failure of a system onboard the vehicle. The method additionally includes generating an escape route plan for the flight plan in response to all portions of the flight plan being assigned at least one escape route.
-
公开(公告)号：US11417221B2
公开(公告)日：2022-08-16
申请号：US16819787
申请日：2020-03-16
Applicant: The Boeing Company
Inventor： Jonas Schulze , Michael Christian Büddefeld , Hugo Eduardo Teomitzi
Abstract: A method includes separating a flight plan of a vehicle into a number of portions with each portion including a particular length that is determined based on a complexity of an environment where the flight plan takes place. The complexity of the environment is based on at least one of a set of factors including at least one of a terrain of the environment, one or more obstacles, one or more no-fly zones, or one or more no-landing zones within the environment. The method also includes determining an escape route for each portion of the flight plan. The escape route includes a route to a safe landing site in response to a failure of a system onboard the vehicle. The method additionally includes generating an escape route plan for the flight plan in response to all portions of the flight plan being assigned at least one escape route.
-
公开(公告)号：US20210343158A1
公开(公告)日：2021-11-04
申请号：US16863225
申请日：2020-04-30
Applicant: The Boeing Company
Abstract: A system and method for conducting preflight planning for autonomous flight missions of unmanned aerial vehicles (UAVs). The system includes use of a controller to conduct quantitative risk assessments of available digital data to predict low risk flight routes based on estimated flight risk profiles. The flight risk profiles may be based upon flight safety-critical information, including real time regulatory, airspace, obstacle, and infrastructure data sets. Among other data sets, the flight risk profiles may also account for current weather, current population and traffic data, and aircraft operational data specific to the UAV involved. Each risk assessment can generate a flight risk profile dependent on proposed times of travel, from which a low risk route may be predicted for any impending autonomous aircraft flight. Such risk assessments may enhance chances of expeditious regulatory acceptance of flight plans for such predetermined flight routes.
-
-
-
-
-
Search Results
6
records
(took 0.014 seconds)
