Military and Crisis Management Decision Support Tools for Situation Awareness Development Using Sensor Data Fusion

Chmielewski, Mariusz; Kukiełka, Marcin; Frąszczak, Damian; Bugajewski, Dawid

doi:10.1007/978-3-319-67229-8_17

Cited by 7 publications

(9 citation statements)

References 7 publications

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“…When the viewing angles are specified, a maximum visible distance of units, POIs, and measurement points supplemented with Head-Up Display (HUD) controls and environmental data produce TARV. Algorithms [15,16,17] , which can be adjusted using the max distance parameter and viewing criteria (threat factor, distance, and entity potential). The position of the battlespace entity marker is calculated using the following formulas: .…”

Section: Tactical Calculation Methodology and Situational Awareness Ementioning

confidence: 99%

“…The orientation measurements are stored in a configurable 20-element buffer using a weighting strategy to determine correction for the new value inserted into the buffer. Algorithms [15][16][17] evaluate the visibility and characteristics of a rendered battlespace entity based on the formula visible = bearingTo(unit) ≤ azimuth 2 ∧ distanceTo(unit) ≤ max, which can be adjusted using the max distance parameter and viewing criteria (threat factor, distance, and entity potential). The position of the battlespace entity marker is calculated using the following formulas:…”

Section: Tactical Calculation Methodology and Situational Awareness Ementioning

confidence: 99%

“…All Figure 7. Functional data components diagram demonstrating the sources of data used for generating a tactical augmented reality view (in conclusion, situational awareness) for individual commanders [8,16]. To show explicitly the degree of improvement in time needed to complete certain tasks, Table 4 contains the calculated percentage values of how much less time the action took using mCOP than using a map.…”

Section: Threat-level Assessment Methodsmentioning

confidence: 99%

“…Functional data components diagram demonstrating the sources of data used for generating a tactical augmented reality view (in conclusion, situational awareness) for individual commanders[8,16].…”

mentioning

confidence: 99%

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Application of Augmented Reality, Mobile Devices, and Sensors for a Combat Entity Quantitative Assessment Supporting Decisions and Situational Awareness Development

2019

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This paper presents advances in the development of specialized mobile applications for combat decision support utilizing augmented reality technologies used for the production of contextual data delivered to any tactical smartphone. Handhelds and decision support systems have been present in military operations since the 1990s. Due to the development of hardware and software platforms, smartphones are capable of running complex algorithms for individual soldiers and low-level commander support. The utilization of tactical data (force location, composition, and tasks) in dynamic mobile networks that are accessible anywhere during a mission provides means for the development of situational awareness and decision superiority. These two elements are key factors in 21st-century military operations, as they influence the efficiency of recognition, identification, and targeting. Combat support tools and their analytical capabilities can serve as recon data hubs, but most of all they can support and simplify complex analytical tasks for commanders. These tasks mainly include topographical and tactical orientation within the battlespace. This paper documents the ideas for and construction details of mobile support tools used for supporting the specific operational activities of military personnel during combat and crisis management. The presented augmented reality-based evaluation methods formulate new capabilities for the visualization and identification of military threats, mission planning characteristics, tasks, and checkpoints, which help individuals to orientate within their current situation. The developed software platform, mobile common operational picture (mCOP), demonstrates all research findings and delivers a personalized combat-oriented distributed mobile system, supporting blue-force tracking capabilities and reconnaissance data fusion as well as threat-level evaluations for military and crisis management scenarios. The mission data are further fused with Geographic Information System (GIS) topographical and vector data, supporting terrain evaluations for mission planning and execution. The application implements algorithms for path finding, movement task scheduling, assistance, and analysis, as well as military potential evaluation, threat-level estimation, and location tracking. The features of the mCOP mobile application were designed and organized as mission-critical functions. The presented research demonstrates and proves the usefulness of deploying mobile applications for combat support, situation awareness development, and the delivery of augmented reality-based threat-level analytical data to extend the capabilities and properties of software tools applied for supporting military and border protection operations.

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Section: Tactical Calculation Methodology and Situational Awareness Ementioning

confidence: 99%

Section: Tactical Calculation Methodology and Situational Awareness Ementioning

confidence: 99%

Section: Threat-level Assessment Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Application of Augmented Reality, Mobile Devices, and Sensors for a Combat Entity Quantitative Assessment Supporting Decisions and Situational Awareness Development

2019

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show abstract

“…Nowadays, technologies and infrastructures give the great opportunity to abandon the ''fat client'' approach by delivering software products installed directly on the end-user computer who benefits from using the client browser engine -providing the applications in a ''thin client'' way [9,10]. It is an excellent direction not only for the software customers but also for the researcher's community.…”

Section: Motivation and Significancementioning

confidence: 99%