Aircraft Augmented Reality Training With Predictive Positioning
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Solution Overview
Problem
Augmented reality systems struggle to maintain precise geospatial positioning of virtual content in environments lacking real objects or with limited real objects, especially in fast-moving vehicles, leading to challenges in training simulations.
Innovation Solution
A system that uses aircraft sensors and helmet position sensors to track the vehicle's location, attitude, and pilot's viewing direction, generating virtual markers for augmented reality content, independent of real objects, and employs predictive algorithms to maintain accurate geometric understanding and present content at future geospatial locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional marker-based tracking systems are used in augmented reality, then content can be spatially located using real objects as markers, but the system fails in environments lacking real objects or with limited real objects
Solution Approach 1:
The patent introduces virtual markers as an intermediary element that mediates between the tracking system and the environment. These virtual markers are generated computationally and do not require physical real-world objects, enabling AR content to be tracked and positioned in environments lacking sufficient real objects while maintaining tracking reliability through the synthetic marker reference points
Solution Approach 2:
The patent creates virtual copies of markers (virtual markers) that replicate the functional properties of physical markers without requiring physical objects. These copied marker elements provide the necessary reference points for spatial tracking and content positioning in environments where real objects are absent or insufficient
2Productivity
If augmented reality content is presented in fast-moving vehicles, then training simulations become more dynamic and realistic, but maintaining precise geospatial positioning of virtual content becomes difficult
Solution Approach 1:
The patent applies predictive algorithms that perform preliminary calculations of future vehicle positions and orientations based on current motion parameters. By pre-computing the anticipated geospatial location and attitude changes, the system can proactively adjust virtual marker positions and content placement to maintain precision despite the vehicle's fast movement, rather than reactively correcting errors after they occur
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors actual vehicle position and orientation data, compares it with predicted values, and uses this feedback to refine and correct the positioning of virtual markers and AR content in real-time, maintaining measurement precision throughout the dynamic training simulation
3Measurement precision
If predictive algorithms are used to maintain accurate geometric understanding in fast-moving vehicles, then future geospatial positions can be accurately predicted, but the system complexity increases
Solution Approach 1:
The predictive algorithms perform preliminary computations of future vehicle states based on current motion parameters and physics models. By calculating anticipated positions, orientations, and timing in advance, the system maintains high geospatial prediction accuracy without requiring complex real-time adjustment mechanisms, as the predictions are prepared proactively before needed
Solution Approach 2:
The patent employs dynamic prediction models that adapt to the vehicle's actual motion characteristics. Rather than using overly complex static models, the system dynamically adjusts prediction parameters based on observed motion patterns, maintaining accuracy while optimizing computational efficiency and reducing unnecessary system complexity
Data Source
AI summary
Systems, methods, and computer products according to the principles of the present inventions may involve a training system for a pilot of an aircraft. The training system may include an aircraft sensor system affixed to the aircraft adapted to provide a location of the aircraft, including an altitude of the aircraft, speed of the aircraft, and directional attitude of the aircraft. It may further include a helmet position sensor system adapted to determine a location of a helmet within a cockpit of the aircraft and a viewing direction of a pilot wearing the helmet. The helmet may include a see-through computer display through which the pilot sees an environment outside of the aircraft with computer content overlaying the environment to create an augmented reality view of the environment for the pilot.