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Vision Ship Information Overlay and Navigation “VISION” System

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Advances in Human Factors in Robots and Unmanned Systems (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 962))

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Abstract

Modern naval vessels, marvels of systems engineering, combine a myriad of complex solutions into a single, sophisticated machine. Personnel responsible for the safe operation of these ships are required to parse, filter, and process a large array of information in order to make key decisions. Safe navigation requires better processing and interpretation of significant quantities of data, and ensuring this information is made available in an easily consumable fashion.

Augmented reality provides a means to solve this problem, using customizable interfaces and overlays of information on the world to help make intelligent decisions in dangerous, congested situations. The team’s Optimal Trajectory and other path planning algorithms can refine these navigational aids, accounting for changes in weather, current, and tides.

Our team successfully demonstrated an augmented reality solution, giving additional situational awareness during transit to sea and into port.

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Authors and Affiliations

  1. Naval Air Warfare Center – Weapons Division, 1 Administrative Circle, China Lake, CA, 93555, USA

    Jessica Reichers, Nathan Brannon, Joshua Rubini, Naomi Hillis, Katia Estabridis & Gary Hewer

Authors
  1. Jessica Reichers
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  2. Nathan Brannon
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  3. Joshua Rubini
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  4. Naomi Hillis
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  5. Katia Estabridis
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  6. Gary Hewer
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Corresponding author

Correspondence to Jessica Reichers .

Editor information

Editors and Affiliations

  1. U.S. Army Research Laboratory, Orlando, FL, USA

    Jessie Chen

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© 2020 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply

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Reichers, J., Brannon, N., Rubini, J., Hillis, N., Estabridis, K., Hewer, G. (2020). Vision Ship Information Overlay and Navigation “VISION” System. In: Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2019. Advances in Intelligent Systems and Computing, vol 962. Springer, Cham. https://doi.org/10.1007/978-3-030-20467-9_1

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