Research Projects

SkyDome - Keeping the sky's above airports safe & secure with accurate airborne detect alerts

SkyDome offers airborne awareness in all weather conditions for enhanced collision avoidance at airports. The autonomous operating solution does not require a man-in-the-loop, although remote access for authorized personell from the cloud is available. The primary purpose is to detect and alert pilots about airborne objects in their flight path (landing and take-off) that are difficult to see with the naked eye (example: small drones, flocks of birds, etc.). The alert will provide pilots with sufficiant warning time to manuever around the non-cooperatives. Fees for this critically needed level of safety can be funded as part of the landing fees (manditory or optional).

The notification of an altert can be sent to the pilot various ways (through an ADS-B protocol, via the wireless communications network on to their mobile devices or tablets or integrated into the to pilots flight safety alerts.

Background (Describe the current situation or problem in the industry, and how your idea would address it.)

SkyDome offers 360 degree coverage with TrueView 3D radars that detect small drones 2-4 km away, providing accurate velocity angle within 2 degrees (azimuth & elevation) and range less than 1 meter. Alerts can be offered to any manned aircraft pilot within the airport perimeter that registers to offer ample time to avoid a collision with non-cooperative aircraft (UAV's, Drone, Glidders, Baloons,

Objective (What is the desired product or result that will help the airport industry?)

"SkyDome offers airborne awareness in all weather conditions for enhanced collision avoidance at airports. The autonomous operating solution does not require a man-in-the-loop, although remote access for authorized personell from the cloud is available. The primary purpose is to detect and alert pilots about airborne objects in their flight path (landing and take-off) that are difficult to see with the naked eye (example: small drones, flocks of birds, etc.). The alert will provide pilots with sufficiant warning time to manuever around the non-cooperatives. Fees for this critically needed level of safety can be funded as part of the landing fees (manditory or optional).
The notification of an altert can be sent to the pilot various ways (through an ADS-B protocol, via the wireless communications network on to their mobile devices or tablets or integrated into the to pilots flight safety alerts."

Approach (Describe in general terms the steps you think are needed to achieve the objective.)

Fortem has 60+ engineers, PhDs and Scientists to refine the Radar and SkyDome solutions for use at airpo
rts to
improve safety through the detection of small drones and flocks of birds and wires. The research will include lab
simulations early into the project and hardware and software performance parameter testing in the lab and onsite in
the field. The s
olution will be formally field tested and evaluated at an airport and results will be provided including
test reports for analysis and proof of performance.

Cost Estimate and Backup (Provide a cost estimate and support for how you arrived at the estimate.)

The project will cost $300,000.00 and will include the development and manufacturing of the radars, refinement of
SkyDome software including deployment at the airport sites in Cedar City UT, the POC at the airport is Jeremy
Valgaurdson, and oversite will be done by Jared Esselman DOT Director of Aeronautics UT. the project co
sts include travel, lodging and meals for team members and FAA personnel that will attend for observation and
validation of performance results. In addition, Leesburg Executive Airport is also a candidate for a site
demonstration.

Related Research - List related ACRP and other industry research; describe gaps (see link to Research Roadmaps above), and describe how your idea would address these gaps. This is a critical element of a synthesis topic submission.

Fortem will further refine the radars Artificial Intelligence (AI) classification for identification of birds, and types of
Drones, UAVs, Manned helicopters and fixed wing aircraft. The related research will include further refinement of
the detect alert communications to pilots approaching the airport.

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Idea No. 96

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