Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network

Dantas, Joao P. A.; Costa, Andre N.; Geraldo, Diego; Máximo, Marcos R. O. A.; Yoneyama, Takashi

doi:10.1007/978-3-030-91699-2_14

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…The capabilities of AsaBatch already supported several academic studies [4,2,12,5,6,3,8] that used the execution of thousands of simulations to achieve their results. It is worth noting that the high individual performance of each simulation is mainly due to the capabilities of MIXR itself.…”

Section: Asabatchmentioning

confidence: 99%

“…ASA has helped develop extensive academic work in the aerospace and defense context relating to different fields of study, such as artificial intelligence, machine learning, data science, and optimization. These applications can be seen in [4,2,12,5,6,3,8,9], being detailed as follows.…”

Section: Applicationsmentioning

confidence: 99%

“…In [6], a Deep Neural Network estimates the Weapon Engagement Zone (WEZ) maximum launch range, allowing pilots to identify the airspace in which the available missile has a more significant probability of successfully engaging a particular target.…”

Section: Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

ASA: A Simulation Environment for Evaluating Military Operational Scenarios

Dantas¹,

Costa²,

Gomes³

et al. 2022

Preprint

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The Aerospace Simulation Environment (Ambiente de Simulação Aeroespacial -ASA in Portuguese) is a custom-made objectoriented simulation framework developed mainly in C++ that enables the modeling and simulation of military operational scenarios to support the development of tactics and procedures in the aerospace context for the Brazilian Air Force. This work describes the ASA framework, bringing its distributed architecture for managing multiple simulation machines, a data analysis platform for post-processing simulation data, the capability of loading models at simulation runtime, and a batch mode execution platform to perform multiple independent executions simultaneously. In addition, we present a list of recent works using the ASA framework as a simulation tool in the air combat context.

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Section: Asabatchmentioning

confidence: 99%