Disclosed herein is a computer implemented method for providing an electronic flight strip system over a network, the method comprising: receiving and authenticating a remote user login request; identifying a pre-configured electronic flight strip system instantiation associated with the remote user; and, serving the pre-configured electronic flight strip system instantiation for display and user interaction on a remote display for managing aircraft movements using electronic flight strips on a digital flight board.

Embodiments relate generally to systems and VTOL aerial vehicles. An example central server system comprises: at least one central server system processor; and central server system memory storing central server system program instructions accessible by the at least one central server system processor, and configured to cause the at least one central server system processor to: receive vehicle registration data associated with a manned VTOL aerial vehicle; and determine that the vehicle registration data is associated with a manned VTOL aerial vehicle that is authorized to communicate with the central server system. Some embodiments include VTOL aerial vehicles in communication or communicable with a central server system.

Embodiments relate generally to systems and VTOL aerial vehicles. An example central server system comprises: at least one central server system processor; and central server system memory storing central server system program instructions accessible by the at least one central server system processor, and configured to cause the at least one central server system processor to: receive vehicle registration data associated with a manned VTOL aerial vehicle; and determine that the vehicle registration data is associated with a manned VTOL aerial vehicle that is authorized to communicate with the central server system. Some embodiments include VTOL aerial vehicles in communication or communicable with a central server system.

A Lidar-based SkyVoice Alert LHA 500 for a general aviation aircraft provides audible announcements of height above a landing surface (e.g., a runway) when the aircaft that is descending on approach or taking off, reaches a specific height above the ground. It gives repeated Gear warnings until the Gear is down and locked. It audibly announces preset GPS/MSL heights. It also announces various user selectable reminders like CheckList, LC GUMPS, Flaps, Check Oxygen, Check Altimeter, Check Fuel, Switch Tank, Top of Descent. The SkyVoice Alert LHA 500 is contained in a housing that mounts onto a removable access plate in a wing cavity, with the Lidar arranged to provide a vertical downward beam though a window formed in the access plate. A connector cable provides connection and disconnection between the SkyVoice Alert LHA 500 and the plane's audio panel.

A Lidar-based SkyVoice Alert LHA 500 for a general aviation aircraft provides audible announcements of height above a landing surface (e.g., a runway) when the aircaft that is descending on approach or taking off, reaches a specific height above the ground. It gives repeated Gear warnings until the Gear is down and locked. It audibly announces preset GPS/MSL heights. It also announces various user selectable reminders like CheckList, LC GUMPS, Flaps, Check Oxygen, Check Altimeter, Check Fuel, Switch Tank, Top of Descent. The SkyVoice Alert LHA 500 is contained in a housing that mounts onto a removable access plate in a wing cavity, with the Lidar arranged to provide a vertical downward beam though a window formed in the access plate. A connector cable provides connection and disconnection between the SkyVoice Alert LHA 500 and the plane's audio panel.

Embodiments of the present disclosure describe a secure, scalable and extensible aircraft and other system and device identity management (IdM) system that enables services for identity provisioning (idP), and identity validation, verification and authentication (idVV&A). The identity and management system uses dual-mode local broadcast and network connected device communication elements across a wide area network. The system serves as a Source System of Record (SSoR) that securely ingests private registration data, system/device identity verification and authentication requests and returns validated identity and activity information.

Embodiments of the present disclosure describe a secure, scalable and extensible aircraft and other system and device identity management (IdM) system that enables services for identity provisioning (idP), and identity validation, verification and authentication (idVV&A). The identity and management system uses dual-mode local broadcast and network connected device communication elements across a wide area network. The system serves as a Source System of Record (SSoR) that securely ingests private registration data, system/device identity verification and authentication requests and returns validated identity and activity information.

A system and a method include an artificial intelligence (AI) control unit configured to: receive a schedule for a pilot of an aircraft, receive survey answer data from the pilot, use one or more machine learning models to analyze the schedule and the survey answer data, and assess a readiness level of the pilot based on the schedule and the survey answer data. The aircraft is operated in accordance with the readiness level as assessed by the AI control unit.

A system and a method include a control unit configured to monitor a first position of an ownship aircraft within an airspace, determine a projected path for the ownship aircraft within the airspace, monitor a second position of a target aircraft within an airspace, and determine a projected wake turbulence of the target aircraft within the airspace. The ownship aircraft is configured to be operated to avoid the projected wake turbulence.

A method of perceiving an airport scene is disclosed. The method comprises receiving an image of at least part of an airport and processing (304) said image using a first machine learning algorithm to identify at least one segment (402) in said image and determine an initial estimate of a category of airport feature present in said segment. The method also comprises determining (310) one or more real-world coordinates or dimensions associated with the segment, applying (312) one or more predetermined logical tests to the initial estimate of the category of airport feature present in the segment and the real-world coordinates or dimensions of the segment to determine a reviewed estimate of the category of airport feature present in the segment, and outputting (320) said reviewed estimate.