NMSU does detect-and-avoid tests for FAA
With increased popularity and use drones, keeping the skies safe is critical. New Mexico State University is part of a team conducting testing to help the Federal Aviation Administration achieve that goal.
As one of the seven FAAapproved Unmanned Aircraft Systems Test Sites, NMSU’s Physical Science Laboratory hosted three days of flight testing, July 16-18, for an FAA project, “Task A18: Small UAS Detect and Avoid Requirements Necessary for Limited Beyond Visual Line of Sight Operations: Separation Requirements and Testing” at the Jornada Experimental Range, north of Las Cruces.
“All of this testing is about safety,” said Henry Cathey, NMSU PSL research and development engineering manager. “Flight safety is number one. We want to make sure that
folks, who are in aircraft, can fly safety with UAS or drones in the air.”
The flight testing involved various flying encounter scenarios between drones and manned aircraft to determine if the drone could detect the aircraft and respond with a maneuver to avoid it. An AI-based autonomous collision avoidance system from Iris Automation called Casia was used on the drone to help it see the world as a pilot does.
Two types of drone, a multirotor and a fixed-wing, with the Iris system onboard, and two manned, NMSU vehicles, the CTLS Light Sport aircraft and Spyder Ultralight aircraft, which posed as the intruder aircraft, were used in the flight testing.
Considerations for encounter scenarios included safe separation distances between vehicles of at least 100 feet in lateral separation and 250 feet in vertical separation. The vehicles conducted tests at different encounter angles and cross patterns. Flights were conducted at two altitudes: 100 feet for the drone and 500 feet for the manned along with 400 feet for the drone and 650 feet for the manned. The testing assessed when the Iris system was triggered and its limits.
Cathey said the next step includes collecting the data and post processing the information, which will take weeks. Flight information on both the drones and manned vehicles was col
lected, and the research team will plot together the information to show the encounters.
“At that point we will be able to help map this particular system to give the FAA an idea of what this technology is capable of,” he said.
“We have several more flight test events before we actually come up with a comprehensive plan, but we are using each flight test event to further expand the data we need to collect and how the operations need to run,” said Bill Oehlschlager, FAA UAS technical project lead. “We are using each incremental step to collect more data and make it safer for when we actually do this testing.”
Iris Automation CEO and co-founder Alexander Harmsen, who attended the flight testing, said he was pleased how his system responded.
“The system is doing everything we expect it to do,” he said. “We’re having these encounters. The system, it detects the aircraft, it tracks it and classifies it. It is able to tell the difference between a drone, a helicopter, a small, fixedwing aircraft and a cloud or a bird.”
As one of 15 core universities for the FAA UAS Center of Excellence, NMSU is also working with the University of North Dakota, University of Alaska Fairbanks, Kansas State University and Mississippi State University on the research project. NMSU, UND and UAF are each hosting flight testing on detect and avoid solutions.
Officials present for the testing included NMSU personnel, FAA sponsors, FAA technical leads, FAA interns, Iris Automation flight personnel, industry representatives, UND and UAF personnel.
Testing on other technology solutions such as ground-based, visual/ optical systems, radar and acoustic is also planned, and NMSU is slated to host additional flight testing. “We’re trying to help push those technology solutions forward,” Cathey said.