Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions
@article{Agrawal2020ModelDrivenRF, title={Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions}, author={Ankit Agrawal and Jan-Philipp Stegh{\"o}fer and Jane Cleland-Huang}, journal={2020 IEEE Tenth International Model-Driven Requirements Engineering (MoDRE)}, year={2020}, pages={1-10} }
The use of semi-autonomous Unmanned Aerial Vehicles (UAVs or drones) to support emergency response scenarios, such as fire surveillance and search-and-rescue, has the potential for huge societal benefits. Onboard sensors and artificial intelligence (AI) allow these UAVs to operate autonomously in the environment. However, human intelligence and domain expertise are crucial in planning and guiding UAVs to accomplish the mission. Therefore, humans and multiple UAVs need to collaborate as a team…
6 Citations
Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems
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This paper examines the User Interface (UI) design trade-offs associated with providing timely and detailed explanations of autonomous behavior for swarms of small Unmanned Aerial Systems (sUAS) or drones and analyses the impact of UI design choices on awareness of the situation.
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- 2022
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A novel framework for model-integrated runtime monitoring is proposed that combines model-driven techniques and runtime monitoring to automatically generate large parts of the monitoring framework and to reduce the maintenance effort necessary when part of the monitored system change.
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