Mission planning, simulation and supervision of unmanned aerial vehicle with a gis-based framework

A framework for mission planning, simulation and supervision of unmanned aerial vehicles (UAV) has been developed. To provide a rich context for mission planning an Enhanced Reality is created from Geographic Information System (GIS) sources and dynamic aggregation of available geo-referenced data. The mission is expressed as statements and expressions of the Aerial Vehicle Control Language (AVCL), the abstraction mechanism needed to bridge the gap between a strategic mission planner and a heterogenous group of vehicles and active payloads. The framework is extendable by design and its aimed at the integration of diverse vehicles with existing systems. It has been tested as a Mission Planning and Simulation tool with our real-time small helicopter model.

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