HMD Training Tool Using Virtual Object Overlay

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Solution Overview

Problem

Conventional training methods for military scenarios using live ammunition pose risks of casualties and are limited to confined spaces, lacking the realism and flexibility of immersive training environments.

Innovation Solution

Augmented reality head-mounted display (HMD) systems that combine sensors, electronics, and communication components to overlay virtual objects and scenarios onto real-world environments, allowing trainees to engage in realistic simulations with virtual targets in various settings, including uncontrolled environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional training uses live ammunition in confined spaces, then training realism is improved, but safety risks and casualty potential increase

Engineering Contradiction:
Improvetraining realismVSAvoidcasualty risk
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent uses virtual copies of targets and training scenarios projected through HMD displays instead of physical targets and live ammunition. The system creates virtual representations of enemy combatants, vehicles, and environments that can be interacted with using real weapons, providing realistic training feedback without the dangers of live-fire ranges.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The HMD system acts as an intermediary between the trainee and the training environment, overlaying virtual elements onto the real-world view. This mediator layer allows trainees to engage with virtual targets while maintaining awareness of their actual surroundings, eliminating the need for confined live-fire spaces while preserving training realism.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If conventional training uses confined spaces with external sensors, then measurement precision is improved, but device complexity and infrastructure requirements increase

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidsensor infrastructure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts the sensing and processing functions from external infrastructure and relocates them to the individual trainee's HMD device. Each trainee's headset contains cameras, sensors, and processing capabilities, eliminating the need for facility-wide sensor networks, target detection systems, and centralized control infrastructure while maintaining measurement precision through onboard detection.

Inventive Principle:
Principle #2Taking out (Extraction)

3Reliability

If conventional training is conducted in controlled facilities, then safety is improved, but adaptability to various training environments decreases

Engineering Contradiction:
Improvetrainee safetyVSAvoidtraining environment flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The HMD system provides universal training capability that works across diverse environments including urban areas, forests, deserts, and indoor facilities. The virtual targets and scenarios can be dynamically configured to match any terrain or situation, allowing the same safety system to adapt to countless training environments without requiring controlled facility infrastructure.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10030931B1Head mounted display-based training tool
Publication Date: 2018.07.24 LOCKHEED MARTIN CORP
  • US10030931B1 patent drawing
  • US10030931B1 patent drawing
  • US10030931B1 patent drawing

AI summary

A head mounted display (HMD)-based training tool includes a HMD, sensor components, and electronics components. The sensor components include an external environment sensor for obtaining data of a real training scene. The electronics components include a simulator including at least one processor coupled to receive the real training scene data. The simulator generates virtual image data based on simulator input signals, where the virtual image data represents at least one virtual object. A display device is coupled to receive the virtual image data from the simulator. A field of view (FOV) of the HMD includes the virtual object from the display device and a real-world view of the real training scene, wherein the simulator modifies the virtual image data responsive to changes in the simulator input signals.