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John Gabriel Monroe
at US Army Engineer Research and Development Ctr
SPIE Involvement:
Author
Publications (5)
Proceedings Article | 14 June 2023 Presentation + Paper
Thermal modeling for autonomous vehicle simulations
Orie Cecil, Justin Carrillo, Matthew Bray, Andrew Trautz, Brian Brady, John Monroe, Matthew Farthing, Josh Fairley
Proceedings Volume 12549, 125490C (2023) https://doi.org/10.1117/12.2663842
KEYWORDS: Thermal modeling, Infrared sensors, Simulations, Sensors, Atmospheric modeling, Unmanned vehicles, Temperature metrology, Physics
Proceedings Article | 6 June 2022 Presentation + Paper
Advanced high-fidelity autonomy systems simulation
Justin Carrillo, Orie Cecil, John Monroe, Andrew Trautz, Matthew Farthing, Matthew Bray
Proceedings Volume 12115, 121150D (2022) https://doi.org/10.1117/12.2618011
KEYWORDS: Sensors, Computer simulations, Atmospheric modeling, RGB color model, Virtual reality, Environmental sensing, Vegetation, Unmanned vehicles, Device simulation, Algorithm development
Proceedings Article | 3 May 2018 Presentation + Paper
A history and overview of mobility modeling for autonomous unmanned ground vehicles
Phillip Durst, Gabe Monroe, Cindy Bethel, Derek Anderson, Daniel Carruth
Proceedings Volume 10643, 106430G (2018) https://doi.org/10.1117/12.2309570
KEYWORDS: Sensors, Performance modeling, Unmanned ground vehicles, Data modeling, Environmental sensing, Roads, Process modeling, LIDAR, Unmanned aerial vehicles, Global Positioning System
Proceedings Article | 19 April 2017 Paper
2D numerical analysis of energy harvesting in oscillating heat pipe using piezoelectric transducers
Proceedings Volume 10171, 1017107 (2017) https://doi.org/10.1117/12.2259855
KEYWORDS: 3D modeling, Physics, Data modeling, Thermal modeling, Energy harvesting, Transducers, Electronics, Systems modeling, Numerical analysis, Finite element methods, Device simulation, Mechanics
Proceedings Article | 18 May 2015 Paper
Energy harvesting via ferrofluidic induction
J. Monroe, Erick Vasquez, Zachary Aspin, John Fairley, Keisha Walters, Matthew Berg, Scott Thompson
Proceedings Volume 9493, 94930G (2015) https://doi.org/10.1117/12.2178419
KEYWORDS: Copper, Magnetism, Particles, Energy harvesting, Linear filtering, Nanoparticles, Data acquisition, Electromagnetism, Iron, Water
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