This paper describes a Mission Definition System and the automated flight process it enables to implement measurement plans for discrete infrastructure inspections using aerial platforms, and specifically multi-rotor drones. The mission definition aims at improving planning efficiency with respect to state-of-the-art waypoint-based techniques, using high-level mission definition primitives and linking them with realistic flight models to simulate the inspection in advance. It also provides flight scripts and measurement plans which can be executed by commercial drones. Its user interfaces facilitate mission definition, pre-flight 3D synthetic mission visualisation and flight evaluation. Results are delivered for a set of representative infrastructure inspection flights, showing the accuracy of the flight prediction tools in actual operations using automated flight control.
Unmanned traffic management (UTM) systems will become a key enabler to the future drone market ecosystem, enabling the safe concurrent operation of both manned and unmanned aircrafts. Currently, these systems are usually tested by performing real scenarios that are costly, limited, hardly scalable, and poorly repeatable. As a solution, in this paper we propose an agent-based simulation platform, implemented through a micro service architecture, which may simulate UTM information sources, such as flight plans, telemetry messages, or tracks from a surveillance network. The final objective of this simulator is to use these information streams to perform a system-level evaluation of UTM systems both in the pre-flight and in-flight stages. The proposed platform, with a focus on simulation of communications and sensors, allows to model UTM actors’ behaviors and their interactions. In addition, it also considers the manual definition of events to simulate unexpected behaviors/events (contingencies), such as communications failures or pilots’ actions. In order to validate our architecture, we implemented a simulator that considers the following actors: drones, pilots, ground control stations, surveillance networks, and communications networks. This platform enables the simulation of the drone trajectory and control, the C2 (command and control) link, drone detection by surveillance sensors, and the communication of all agents by means of a mobile communications network. Our results show that it is possible to truthfully recreate complex scenarios using this simulator, mitigating the disadvantages of real testbeds.
Drone operators, institutions (e.g. law enforcement, rescue agencies, preservation organisms, etc.) and companies (logistics, surveillance, inspection, etc.), are constituting themselves as drone operators, at the same time that increase the size of their fleets of drones. Nowadays, each operator independently manages its drones, on service request. Beyond this isolated approach, many operation scenarios would be much better addressed if automated means for coordinated resource allocation and simultaneous drone control were available. In this paper, we describe a microservice-oriented architecture that provides organization and optimization functionalities to orchestrate drone operation. The platform built on the proposed architecture may be used to enable a single operator to optimize the management of its fleet of drones, but also to facilitate coordination of different resources towards a common goal, assuming a drone-as-a-service operation mode. The architecture is validated through a specific use case, for real time allocation of drone resources to enable fast emergency response.
Abstract-Wireless Sensor Networks (WSN) based onZigBee/IEEE 802.15.4 will be key enablers of non-invasive, highly sensitive infrastructures to support the provision of future ambient assisted living services. This paper addresses the main design concerns and requirements when conceiving Ambient Care Systems (ACS), frameworks to provide remote monitoring, emergency detection, activity logging and personal notifications dispatching services. In particular, the paper describes the design of an ACS built on top of a WSN composed of Crossbow's MICAz devices, external sensors and PDAs enabled with ZigBee technology. The middleware is integrated in an OSGi framework that processes the acquired information to provide ambient services and also enables smart network control. From our experience, we consider that in a future, the combination of ZigBee technology together with a Service Oriented Architecture may be a versatile approach to AAL services offering, both from the technical and business points of view.
Abstract-Pointing is a universal gesture that naturally expresses interest or attraction towards the pointed items. If some 'magic' is added, the gesture may also make these items perform actions. In this paper, we describe a system that enables to interact by pointing with digital or physical controllable resources distributed in a smart space. The system facilitates building an interactive room using COTS devices, in particular a pair of Kinect sensors. The pointing direction is inferred from the user's elbow-wrist vector, which together with a secondary elbow-object vector serves to filter the controllable objects in the area of pointing. Experiments with 8 users in a real setting demonstrate the feasibility of the concept and show that the accuracy of the system is very dependent on the relative position user-resource and on the user behaviour itself.
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