Video: NASA ULI WindMap Project Vigilant Aerospace Briefing

Video: NASA ULI WindMap Project Vigilant Aerospace Briefing


Vigilant Aerospace CEO Kraettli Epperson not too long ago offered a quick on-line presentation discussing our participation within the Nationwide Aeronautics and Area Administration (NASA) College Management Initiative (ULI) WindMap mission lead by Oklahoma State College.

Right here’s extra concerning the WindMap mission:

NASA ULI WindMap Undertaking Vigilant Aerospace Briefing


From the video:

Hello, I’m Kraettli Epperson, CEO of Vigilant Aerospace Methods in Oklahoma Metropolis. I’m going to be speaking about our participation within the NASA ULI WindMap Undertaking, which is being led by Oklahoma State College.

We’re a industrial accomplice on this mission and will probably be offering software program and programs to make the most of the analysis and improvement that’s rising from this mission.

Firm Background

Now a bit little bit of background about us. The corporate is named Vigilant Aerospace Methods and we develop aerospace administration and detect-and-avoid security programs for unmanned plane.

Our know-how is predicated on two licensed NASA patents and was originated by Ricardo Arteaga at NASA Armstrong in California. The system gives avoidance as a baseline perform for our displaying system. It’s based mostly on a number of tasks and papers that we’ve revealed with NASA Armstrong and with Oklahoma State College and others.

The corporate has been a participant within the FAAs Integration Pilot Program. And, is now within the BEYOND Program with two groups in the USA, together with North Dakota and Alaska.

The corporate can be a present participant within the FAAs past visible line-of-sight Aviation Rulemaking Committee (FAA ARC), which is engaged on new guidelines for lengthy vary flight of unmanned plane within the US.

The corporate has workplaces in Fargo and Oklahoma Metropolis.

FlightHorizon Detect-and-Keep away from System

I’m going to take a couple of minutes to speak about how our system works, how our software program works, so that you could perceive how the combination of wind and climate hazard into this technique will probably be particularly helpful for unmanned plane and finally most likely for manned plane as properly.

Our system is an airspace administration system with automated detect-and-avoid built-in to permit unmanned plane or distant pilots to routinely keep away from encounters and conflicts with different air visitors and particularly manned plane.

The system fuses knowledge from ground-based and on-board radar, fuses knowledge from transponder receivers, together with ADS-B, telemetry from the autopilot on the distant plane, after which networked knowledge – so, visitors knowledge, climate knowledge, and sooner or later knowledge from UTM programs with which it is going to combine.

The system gives an automated course of to detect, observe, show, warn, and keep away from on air visitors with avoidance instructions despatched to the pilot, or finally on to the autopilot. The system gives real-time air visitors show, visible warnings and steering together with airspace logging, flight logging, and different types of knowledge recording.

It’s designed to satisfy trade technical requirements and it’s designed to be plane and sensor agnostic in order that new knowledge sources, sensors could be built-in into the software program and the software program can be utilized with all kinds of plane based mostly on the configuration of the software program for that plane.

Pictured beneath is a screenshot of the consumer interface for the Aerospace Administration System. And I’ll use this to clarify a bit bit about how the software program works and the way it thinks concerning the airspace. Within the heart of this screenshot you’ll see, there’s a white plane.

That is the remotely piloted plane, round that plane is a yellow cylinder. This can be a hockey puck form. That is the properly clear distance that the unmanned plane is usually required to stay from different air visitors or different air hazards.

Within the left-hand, higher left of the screenshot, you will note detected incoming air visitors. This is able to be a manned plane that’s been detected by one of many sensors, transponder receiver or radar, and the software program has then calculated that there will probably be a lack of properly clear. So there’s a pink warning field on the high right here with a selected avoidance command, a decision advisory that claims pace up, flip left inside 19 seconds. The software program begins counting that down. It gives an audible warning.

You’ll additionally see that there are blue traces extending from each of those air targets. Each of those are the trajectory predictions that the software program is making and utilizing to find out that there may very well be a lack of properly clear. In order the system goes ahead, the 2 plane will strategy one another. The command hopefully will probably be taken by the distant pilot and the lack of properly clear could be prevented. This can be a transferring map. It would observe ownship because it flies throughout the panorama and it’ll let you see the place your plane is situated after which to trace the opposite air visitors round that plane.

Beneath is a diagram that we’ll use to rapidly clarify a bit bit extra about how the system works and the place it’s receiving knowledge from. Within the heart within the orange field is the FlightHorizon software program.

On the higher left is the autopilot that’s offering telemetry concerning the standing and placement of the distant plane. On the appropriate hand aspect is a transponder receiver, which is receiving data from manned plane transponders, offering details about the place these plane are situated. After which within the center is a radar, that is used to detect non-cooperative manned plane that aren’t utilizing a transponder.

All three of those knowledge sources present a reside steady knowledge stream to the software program, which it makes use of to mannequin the airspace, to trace and show the plane, after which to offer predictions and avoidance instructions when obligatory. This data is then used within the airspace administration show. On this case, this can be a NASA airspace supervisor who’s truly utilizing the interface right here for some flight assessments. And your complete system gives that data to that airspace supervisor or to the distant pilot.

The expectation for this mission is that we are going to additionally herald climate hazard knowledge that’s generated by this analysis in order that knowledge could be labeled after which used to create climate hazard areas, wind hazard areas within the software program that may be averted in the identical approach that we use the software program to keep away from air visitors.

Talked about beneath are some latest tasks that the corporate has participated in. I’ll simply spotlight a number of that I believe are related to this mission:

Particularly, the NASA Quiet Supersonic Program and different supersonic analysis applications have been very helpful in testing and utilizing our software program within the discipline. We even have ongoing work with the supersonic program via 2026.

At this level, we’ve additionally accomplished a project with Oklahoma State University to do radar integration of a specific radar, after which to do intensive testing of that radar with Unmanned Methods Analysis Institute at OSU, a few of these footage are from that work, and that’s been a really fruitful relationship.

We’ve not too long ago completed a project for the FAA, an R&D contract to develop our system and start to check it in past visible line-of-sight flight testing, significantly alongside the Trans-Alaska Pipeline with an onboard system. After which we’ve ongoing work with FAA BEYOND Packages in Alaska and North Dakota and ongoing detect-and-avoid use of our system as a security system in quite a lot of applications.

Objectives for WindMap Undertaking Participation

I’m very briefly going to go over our objectives for participation within the WindMap Undertaking. Now we have actually simply began on our portion of this mission, started to satisfy with the analysis and improvement members, start to grasp what sort of knowledge they’re producing, what sort of wind sampling they’re doing, and start to consider how we are able to combine that knowledge into our security system.

The very first objective could be knowledge assortment and show in our system. The gathering classification of knowledge into wind or climate hazard areas, mapping of that knowledge, after which integration into the dynamic transferring aviation map. So it may be utilized by distant pilots.

Subsequent could be create of wind hazard avoidance areas, the identical approach that we keep away from air visitors. We might need to have the ability to create wind hazard or climate hazard areas within the air area that we are able to then use to offer automated avoidance processes for.

After we’ve the creation of these hazard areas, we might then write the parts of software program to generate automated decision advisories, to permit distant pilots and finally, perhaps manned pilots to keep away from these areas with the identical form of warnings that we would offer for air visitors.

In the end, this technique with the wind and climate hazard built-in knowledge could be deployed via the identical system that we use to deploy our software program now. This can be a distributed service with a distributed infrastructure, so it may be cloud-based and can be utilized remotely over an online browser or it may be put in regionally on a server. And the information could be delivered regionally from sensors, both on-board plane or at a facility.

We might additionally count on to be utilizing this knowledge with our on-board model of our system. This is able to enable this wind and climate hazard knowledge to be built-in with an general current airspace administration and security system that’s being deployed and utilized in trade.

Subsequent Steps for WindMap Participation

Lastly, I’m going to debate the following steps and the processes that we count on to undergo as we take part on this mission with the final word objective of having the ability to eat, after which use this knowledge in precise discipline system for protected flight of unmanned plane.

  1. Develop the information constructions and the information transmission/storage processes wanted to carry the wind and climate hazard knowledge into this technique.
  2. Develop and check the system with logged knowledge, not reside knowledge, however to start to make use of logged hazard knowledge within the system in a simulation mode with the intention to exhibit how it may be utilized in the true world.
  3. Integration of reside climate hazard and knowledge sources as a 3rd step to start to maneuver in the direction of discipline use of the system.
    We might then work on mapping and show of the hazard areas within the system in order that they’re absolutely built-in with the airspace map, then improvement of avoidance calculations and instructions. So, how the system would decide {that a} explicit hazard or space is an space of concern for the distant pilot, and to then present an avoidance command utilizing the identical course of that we do now to keep away from air visitors.
  4. Integration and testing of the entire built-in system in a simulated atmosphere.
  5. Area testing with small unmanned plane, after which transferring in the direction of discipline testing with bigger unmanned plane and in the end in fact, integration in discipline testing with adversarial climate situations. So, the system can truly be used within the discipline with wind and climate hazards with unmanned plane.

Thanks for permitting us to current on our participation on this NASA ULI mission. And we might welcome any questions that you just may need, be happy to contact us instantly utilizing the knowledge on the display screen or to contact us via OSU and Jamey Jacob, Unmanned Systems Research Institute.


Concerning the OSU Unmanned Methods Analysis Institute

Unmanned automobiles have grow to be a revolutionary know-how that’s taking the world by storm. The OSU Unmanned Methods Analysis Institute (USRI) accesses experience throughout Oklahoma State College permitting them to mix leading edge product improvement with educational information and assets to create distinctive options to vital issues. For extra data on the OSU Unmanned Methods Analysis Institute, go to

About Vigilant Aerospace Methods

Vigilant Aerospace is the main developer of detect-and-avoid and airspace administration software program for uncrewed plane programs (UAS or drones). The corporate’s product, FlightHorizon, is predicated on two NASA patents and makes use of knowledge from a number of sources to show a real-time image of the air visitors round a UAS and to offer automated avoidance maneuvers to stop collisions. The software program is designed to satisfy trade technical requirements, to offer automated security and to permit UAS to securely fly past the sight of the pilot. The software program has received a number of trade awards and the corporate has had contracts and customers at NASA, the FAA, the U.S. Division of Protection and with quite a lot of drone improvement applications. Go to our web site at



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