Presentation + Paper
10 May 2019 DAIS-ITA scenario
Graham White, Simon Pierson, Brian Rivera, Maroun Touma, Paul Sullivan, Dave Braines
Author Affiliations +
Abstract
Ongoing research with The International Technology Alliance in Distributed Analytics and Information Sciences (DAIS-ITA) aims to enable secure, dynamic, semantically-aware, distributed analytics for deriving situational understanding in future coalitions. This paper sets out an example military scenario and operations in a future time frame, to capture the expected battlespace context and key future challenges. Key considerations involve complex multi-actor situations, high complexity information, high tempo processing, all within human-machine hybrid-teams. The coalition composition of these teams is critical and all resources will be constrained. A phased operation is proposed across rural and urban operation involving a range of ISR sensors and autonomous devices. All these are subject to enemy action and perturbation and must be used across a highly contested and congested electromagnetic spectrum. Agile command and control is required across the coalition with information arriving from multiple sources and partners that may also be utilised for learning.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Graham White, Simon Pierson, Brian Rivera, Maroun Touma, Paul Sullivan, and Dave Braines "DAIS-ITA scenario", Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110061F (10 May 2019); https://doi.org/10.1117/12.2520150
Lens.org Logo
CITATIONS
Cited by 9 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Analytics

Reconnaissance

Sensors

Surveillance

Control systems

Defense and security

Machine learning

Back to Top