Title

Late Afternoon Concurrent Sessions: GSIS Symposium: UAS Collaboration & Research Opportunities: Presentation: Human-Computer-Interface for Geo-Fencing in Small Unmanned Aircraft Systems

Location

San Tan Ballroom

Topic Area

UNMANNED AERIAL SYSTEMS CERTIFICATION

Other Topic Area

Human Factors

Abstract

The use of small unmanned aircraft systems (sUAS) has increased significantly in the past year. Geographic fencing (geo-fence) is software built into most medium-cost consumer sUAS. This software is typically used to limit the altitude above launch point (e.g., 400 feet above ground level), limit the flight distance from the transmitting controller, and/or restricting flight inside a no-fly zone. While the concept of a geo-fence is simplistic, the Human-Computer- Interface (HCI) varies drastically between platforms, and even between software iterations on the same platform. This research examines the HCI of three consumer-level sUAS with regard to geo fencing. The software procedures and human interface for the DJI Inspire-1, 3D Robotics IRIS+, and the Yuneec Typhoon Q500+ were evaluated. This assessment yielded several recommendations for geo-fencing software for sUAS.

Start Date

15-1-2016 3:45 PM

End Date

15-1-2016 5:00 PM

Chair/Note/Host

Chair: Ty Groh, ERAU-PC

Keywords

Human Factors, Unmanned, Drone, Geo-Fence, UAS, Unmanned Aircraft Systems, Unmanned Aerial Systems, Human-Computer-Interface, Small Unmanned Aircraft Systems, SUAS

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Jan 15th, 3:45 PM Jan 15th, 5:00 PM

Late Afternoon Concurrent Sessions: GSIS Symposium: UAS Collaboration & Research Opportunities: Presentation: Human-Computer-Interface for Geo-Fencing in Small Unmanned Aircraft Systems

San Tan Ballroom

The use of small unmanned aircraft systems (sUAS) has increased significantly in the past year. Geographic fencing (geo-fence) is software built into most medium-cost consumer sUAS. This software is typically used to limit the altitude above launch point (e.g., 400 feet above ground level), limit the flight distance from the transmitting controller, and/or restricting flight inside a no-fly zone. While the concept of a geo-fence is simplistic, the Human-Computer- Interface (HCI) varies drastically between platforms, and even between software iterations on the same platform. This research examines the HCI of three consumer-level sUAS with regard to geo fencing. The software procedures and human interface for the DJI Inspire-1, 3D Robotics IRIS+, and the Yuneec Typhoon Q500+ were evaluated. This assessment yielded several recommendations for geo-fencing software for sUAS.