Mixed Reality Aircraft Training System with Performance-Based Simulation
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Solution Overview
Problem
Current aircraft training methods are costly and inefficient, as live training exercises require extensive resources and restricted airspace, while simulation systems fail to accurately replicate the physical forces and movements experienced during actual flight.
Innovation Solution
An integrated system that combines live and simulation environments on an aircraft, using a training processor to generate and present simulation sensor data alongside live sensor data, allowing pilots to train in a mixed environment with simulated and real-world objects, and adjusting the simulation based on the pilot's performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If live training exercises are conducted, then training realism and skill development are improved, but training costs and resource consumption increase
Solution Approach 1:
The patent merges live and simulation environments into a single integrated training system. The aircraft operates in a live environment while a simulation environment is superimposed through displays, allowing pilots to interact with both real and virtual objects simultaneously. This combination provides the realism of live training with the cost-effectiveness of simulation.
Solution Approach 2:
The patent introduces a simulation environment as an intermediary layer between the pilot and the live environment. Virtual objects are superimposed on the pilot's view of the actual environment, mediating the training experience to provide both realism and controllability without requiring extensive live resources.
2Loss of energy
If simulation training is used, then training costs are reduced, but training realism and physical force replication deteriorate
Solution Approach 1:
The patent combines the cost advantages of simulation with the realism of live training by integrating simulation elements into the actual flight environment. Pilots experience real physical forces from actual flight while interacting with virtual objects displayed through the simulation environment, achieving both affordability and realism.
Solution Approach 2:
The patent applies simulation selectively to specific aspects of training while maintaining live operation for the physical flight experience. The simulation environment provides virtual objects and scenarios in specific regions of the pilot's field of view, while the actual flight provides authentic physical sensations and environmental interactions.
3Reliability
If multiple live aircraft are used for training, then training effectiveness is improved, but airspace restrictions and operational complexity increase
Solution Approach 1:
The patent creates virtual copies of other aircraft as simulation objects that can be interacted with during training. These simulated aircraft replicate the behavior and characteristics of real aircraft without requiring actual aircraft to be present, eliminating airspace restrictions while maintaining training effectiveness.
Solution Approach 2:
The simulation environment acts as an intermediary that provides virtual opponents and training scenarios without requiring actual multiple aircraft. The training processor generates and manages these virtual objects, mediating the multi-aircraft training experience through a single physical aircraft.
Data Source
AI summary
A method and apparatus for training in an aircraft. An apparatus comprises an aircraft, a display system associated with the aircraft, a sensor system associated with the aircraft, and a training processor configured to be connected to the aircraft. The training processor is further configured to receive information about an operator, generate constructive data for simulated objects, generate simulation sensor data using the constructive data, and present the simulation sensor data with live sensor data generated by the sensor system on the display system. The training processor is further configured to identify a performance of the operator based on a policy and modify a simulation based on the performance of the operator.