Abstract
Abstract. This paper presents the design and development of a hardware and software framework supporting all phases of typical monitoring and mapping missions with mini and micro UAVs (unmanned aerial vehicles). The developed solution combines state-of-the art collaborative virtual globe technologies with advanced geospatial imaging techniques and wireless data link technologies supporting the combined and highly reliable transmission of digital video, high-resolution still imagery and mission control data over extended operational ranges. The framework enables the planning, simulation, control and real-time monitoring of UAS missions in application areas such as monitoring of forest fires, agronomical research, border patrol or pipeline inspection. The geospatial components of the project are based on the Virtual Globe Technology i3D OpenWebGlobe of the Institute of Geomatics Engineering at the University of Applied Sciences Northwestern Switzerland (FHNW). i3D OpenWebGlobe is a high-performance 3D geovisualisation engine supporting the web-based streaming of very large amounts of terrain and POI data.
Highlights
Over the last few years we have witnessed major advancements in the areas of Unmanned Aerial Vehicles (UAV) airframes and propulsion, autonomous UAV control as well as geospatial imaging sensors for UAV missions
Over the last few years we have witnessed major advancements in the areas of UAV airframes and propulsion, autonomous UAV control as well as geospatial imaging sensors for UAV missions. While these advancements are fundamental for UAVbased geospatial imaging missions, further components are required if complex real-time monitoring and mapping missions with multi-sensor payloads are to be supported
In this paper we introduced the UAVision system, a combined hardware and software solution supporting professional UAV based real-time monitoring and mapping missions directly integrated within a web-based virtual globe technology
Summary
Over the last few years we have witnessed major advancements in the areas of UAV airframes and propulsion, autonomous UAV control as well as geospatial imaging sensors for UAV missions. While these advancements are fundamental for UAVbased geospatial imaging missions, further components are required if complex real-time monitoring and mapping missions with multi-sensor payloads are to be supported. This paper introduces a hardware and software architecture developed as part of the UAVision research project and supporting the following phases of typical geospatial UAV missions: mission planning and simulation, mission control with augmented and virtual monitoring capabilities. We provide some conclusions and an outlook on future developments
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