Autonomous Teammates for Squad Tactics
| Autor: | Ross Arnold, James Tyler, Benjamin Abruzzo, Christopher Korpela |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Iterative design
Operating environment Computer science media_common.quotation_subject Infantry ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology 010501 environmental sciences Aerial video 01 natural sciences Aeronautics 0202 electrical engineering electronic engineering information engineering Deep neural networks Robot Leverage (statistics) 020201 artificial intelligence & image processing Autonomy 0105 earth and related environmental sciences media_common |
| Zdroj: | 2020 International Conference on Unmanned Aircraft Systems (ICUAS). |
| Popis: | The United States Department of Defense seeks to integrate small unmanned aircraft systems (UAS) into infantry squads and develop tactics, techniques, and procedures using unmanned systems. Through an iterative design process consisting of live-fly tactical exercises, this research investigates the teaming of humans with unmanned aerial systems. Exercises involve force on force engagements to encourage the development of tactics and procedures for the future operating environment. Three successful mission tactics for leveraging UAS in missions are defined. In addition to autonomy, teams leverage convolutional and artificial deep neural networks running real time on aerial video feeds to identify and classify combatants and friendly forces. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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