Modeling pilot performance under degraded visual environment

Kharananda Sharma; Jon Vogl; Thomas H. Harding

doi:10.1117/12.2585625

12 April 2021 Modeling pilot performance under degraded visual environment

Kharananda Sharma, Jon Vogl, Thomas H. Harding

Proceedings Volume 11759, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations II; 1175907 (2021) https://doi.org/10.1117/12.2585625
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Army Aviation mission scenarios have inherent risks associated with them and risks are amplified under degraded visual environment (DVE) flight conditions. As part of the Aviator Risk Assessment Model (AvRAM), DVE obscurants (i.e., rain, fog, dust, smoke, and snow) have been modeled using published sensor penetration data for visible, infrared, and lower frequency bands. Visibility calculations as well as time and distance calculations for target detection were performed for different sensor configurations and sensitivities, environmental conditions, and airspeed. The AvRAM includes a simplified target identification paradigm that incorporates probability of correct identification as a function of distance and time.

Conference Presentation

Citation Download Citation

Kharananda Sharma, Jon Vogl, and Thomas H. Harding "Modeling pilot performance under degraded visual environment", Proc. SPIE 11759, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations II, 1175907 (12 April 2021); https://doi.org/10.1117/12.2585625

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