Resumen:
An Autonomous-UAV Architecture for Remote Sensing and Intelligent Decision-making

Fecha

2019-09-02

Editor

Sistedes

Publicado en

Actas de las XV Jornadas de Ciencia e Ingeniería de Servicios (JCIS 2019)

Licencia Creative Commons

Resumen

Recently, the US Department of Transportations Federal Aviation Administration and other international organizations have proposed a set of requirements for small unmanned aerial vehicles (UAVs) to operate for nonrecreational purposes. However, existing UAV architectures fulfill only some of the established requirements, and not all in one solution. This paper presents an unprecedented event-driven service-oriented architecture that allows autonomous UAVs to satisfy all these requirements and to detect critical situations, performing real-time decision making. The core of this architecture is based on the use of complex event processing (CEP) onboard. The results obtained involve advances in terms of the number of events processed per second, response time, ease of use for nontechnological users, and code reconfiguration before or during the UAV flight. These results have been validated by implementing the architecture.

Descripción

Acerca de Boubeta-Puig, Juan

Palabras clave

Autonomous Vehicles, Computer Architecture, Decision Making, FAA, Real-time Systems, Unmanned Aerial Vehicles
Página completa del ítem
Notificar un error en este resumen
Mostrar cita
Mostrar cita en BibTeX
Descargar cita en BibTeX