UAV-based Simulation Environment: Experience Report

Jovanovic, Mladjan; Starčević, Dušan; Obrenović, Željko

doi:10.1109/eurcon.2007.4400504

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Within this subset, there exist a number of more adapted methodologies. For example, UAS simulation focuses on UAS knowledge and skill components (Jovanovic, Starcevic, & Obrenovic, 2007), while a simulation-based handoff scenario focuses on the narrower KSA set of handoff and communication (Berkenstadt et al, 2008). Automationenabled full flight simulation is similar to general UAS simulation, though it incorporates automation aspects in order to train use of, and attitude toward, automation (Plat & Amalberti, 2000).…”

Section: General Methodsmentioning

confidence: 99%

Enhancing Unmanned Aerial System Training: A Taxonomy of Knowledge, Skills, Attitudes, and Methods

Pavlas

Burke

Fiore

et al. 2009

Proceedings of the Human Factors and Ergonomics Society Annual

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Despite increased use throughout civilian and military organizations around the world, the training of Unmanned Aerial System (UAS) teams has failed to adopt advances in the science of training. UAS teams are interdependent operators working together to operate a complex system of systems (Cooke & Shope, 2005). Thus, the science of team training is especially applicable to the education of UAS operators. While research into UAS operations and the human factors requirements thereof is progressing (Cooke, Pringle, Pedersen, & Connor, 2006), this scientific information is not getting into the hands of training developers. Without knowledge of the science, those in charge of developing UAS training can do little to improve existing training or create new, more effective curricula. In order to assist the UAS community, this article seeks to elucidate the process of using psychological science in improving UAS training. In order to do so this article will: 1) describe the UAS training problem, 2) delineate the knowledge, skills, and attitudes (KSAs) required for UAS operation, 3) list the general and specific training methods available for UAS training, and 4) show examples of how specific UAS training deficiencies indicate necessary KSAs and training methods. PROBLEM: UAS TRAININGOne of the primary indicators of the deficiency in UAS training comes directly from the UAS community. While the US Air Force attempts to harness the capabilities of unmanned systems on an organizational scale, there is great internal discord over how operators should be trained (Stulberg, 2007). Indeed, Stulberg (2007) notes while examining the plight of UAS operators:The overload on operators and sensor operators not only circumscribes training, but also compels them to develop operational practices and standards on the fly, with little interaction with Air Force doctrinal authorities or pilot community. (p. 261)

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Section: General Methodsmentioning

confidence: 99%

Enhancing Unmanned Aerial System Training: A Taxonomy of Knowledge, Skills, Attitudes, and Methods

Pavlas

Burke

Fiore

et al. 2009

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

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Software Support for Ground Control Station for Unmanned Aerial Vehicle

Jovanovic

Starčević

Jovanović

2009

Volume 3: ASME/IEEE 2009 International Conference on Mechatronic and Embedded Systems and Applications; 20th Reliability, Stres

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Uninhabited vehicles can be used in many applications and domains, particularly in environments that humans cannot enter (e.g. deep sea) or prefer not to enter (e.g. war zones). The promise of relatively low cost, highly reliable and effective assets that are not subject to the physical, psychological or training constraints of human pilots has led to much research effort across the world. Due to technological advances and increasing investment, interest in Unmanned Aerial Vehicles (UAVs) as a practical, deployable technological component in many civil applications is rapidly increasing and becoming a reality, as are their capabilities and availability. UAV platforms also offer a unique experimental environment for developing, integrating and experimenting with many other technologies such as automated planners, knowledge representation systems, chronicle recognition systems, etc. UAV performs various kinds of missions such as mobile tactical reconnaissance, surveillance, law enforcement, search and rescue, land management, environmental monitoring, disaster management. UAV is a complex and challenging system to develop. It operates autonomously in unknown and dynamically changing environment. This requires different types of subsystems to cooperate. In order to realize all functionalities of the UAV, the software part becomes very complex real-time system expected to execute real-time tasks concurrently. This paper describes proposed software architecture for GCS (Ground Control Station) for lightweight UAV purpose-built for medium-scale reconnaissance and surveillance missions in civil area. The overall system architecture and implementation are described.

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UAV-based Simulation Environment: Experience Report

Cited by 2 publications

References 6 publications

Enhancing Unmanned Aerial System Training: A Taxonomy of Knowledge, Skills, Attitudes, and Methods

Enhancing Unmanned Aerial System Training: A Taxonomy of Knowledge, Skills, Attitudes, and Methods

Software Support for Ground Control Station for Unmanned Aerial Vehicle

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