Night Operations and Customizable Tactics Using Replications of NVGs and Adaptive Lighting (NOCTRUNAL) is a a realistic, immersive Night Vision Goggle (NVG) experience that is accessible via desktop or virtual reality (VR).
Summary
Users can customize their experience by selecting various NVG types, lighting conditions, and tasks. While under the effects of NVGs, the simulation requires the user to complete tasks amid challenges like diverse lighting effects and identifying targets.
This project will be used for supporting behavioral science research on soldier performance under the effects of NVGs and serving as a preliminary training tool for NVG training programs.
Features and Design
Software
Unreal Engine 5
Blender
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Hardware
HOTAS Thrustmaster Controls
Joystick controls pitch and yaw of the boom
Throttle controls boom telescope extension
Meta Quest 2 VR headset
Contributions
Team:
Elaina Grayson
Savonnah Johnston
Dorian Lawrence
Claire Wu
Mentor:
Jonathan Diemunsch
Jerry Huggins
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Client:
AFRL 711th Human Performance Wing, Cognition and Modeling Branch
Dr. Taylor Curley (HPW/RHWEM)
Fred Meyer (HPW/RHWEO)
Sharon Ellis (HPW/RHWEO)
Outcomes and Additional Information
The GRILL® scholars were challenged to create a virtual environment for VR and desktop that enables users to customize environmental conditions that would otherwise be uncontrollable in real-world scenarios and develop a full-scale simulation of NVG usage
The sim is designed to aid research efforts of the AFRL 711th Human Performance Wing, Cognition and Modeling Branch, as they perform laboratory testing for Night Vision Imaging Systems (NVIS), determine qualifications and compatibilities of devices, and research effects of NVGs on warfighter performance.
The sim features night vision models with realistic field of view and post processing effects. Users must complete training tasks while navigating a variety of targets and environments.
The program tracks and logs user performance and actions and computes a final score for the user.
Future work will include refined thermal imaging, additional scenes and training scenarios, and multiplayer options.
Demo video of the project, also featured in the YouTube presentation.
Representations of the night vision modeling.
Representations of the lighting effects in different environments.