Aurora Flight Sciences Corporation

The Boeing Company

Jessica Edmonds Duda

Jason Christopher Ryan

Andrew Musto

James Donald Paduano

David A Mindell

John Brooke Wissler

Fabrice Kunzi

Michael D Piedmonte

John Allee

John Tylko

Joshua Torgerson

Wendy Feenstra

William Robert Bosworth

Eugene H Nahm

Zarrin Khiang-Huey Chua

An aircrew automation system that provides a pilot with high-fidelity knowledge of the aircraft's physical state, and notifies that pilot of any deviations in expected state based on predictive models. The aircrew automation may be provided as a non-invasive ride-along aircrew automation system that perceives the state of the aircraft through visual techniques, derives the aircraft state vector and other aircraft information, and communicates any deviations from expected aircraft state to the pilot.

Aircrew automation system and method

An adaptable vehicle monitoring system is disclosed. The system includes a core platform having a state monitoring subsystem and a feedback subsystem. The core platform interconnects a perception subsystem, a knowledge acquisition subsystem, and a user interface. The perception subsystem is configured to acquire current vehicle state data from instruments of a vehicle. The knowledge acquisition subsystem includes a context awareness subsystem configured to determine a current vehicle context. The state monitoring subsystem is configured to derive a current vehicle state based at least in part on the vehicle state data and vehicle context. The knowledge acquisition subsystem further includes a database subsystem configured to store the current vehicle state data, current vehicle context, and current vehicle state. The trend monitoring subsystem is configured to analyze the one or more stored vehicle state data, stored vehicle contexts, and stored vehicle states to identify one or more trends. The feedback subsystem is configured to prepare operator and deliver operator feedback via the user interface based at least in part on a comparison between the current vehicle state and/or current trend and an expected vehicle state and/or previously identified trends.

Adaptable vehicle monitoring system

An aircrew automation system and method for use in an aircraft. The aircrew automation system comprises one or more processors, an optical perception system, an actuation system, and a human-machine interface. The optical perception system monitors, in real-time, one or more cockpit instruments of the aircraft visually to generate flight situation data. The actuation system mechanically engages at least one flight control of the aircraft in response to the one or more flight commands. The human-machine interface provides an interface between a human pilot and the aircrew automation system. The human-machine interface comprises a display device to display a status of the aircraft and the actuation system.

Pilot health monitoring systems, methods, and apparatuses are provided. A pilot health monitoring system is configured to collect information regarding the pilot's physiological and/or physical characteristics, and information regarding a state of the aircraft; analyze the information; determine a health condition of the pilot and/or a state of the aircraft; and/or provide warnings and/or commands as a function of the information.

Systems and methods for monitoring pilot health

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Wayland, MA, United States of America

Jessica Edmonds Duda