21st July 2021
Over the last year, we’ve constantly been testing our traffic detection system. Daedalean’s neural networks power the first pilot-aid technology serving as another pair of eyes in the cockpit: detection and assessment of airborne hazards, including non-cooperative traffic such as drones and birds. Detection range (Declaration Range as per DO-387) depends on the type and size of intruder, and currently the system tracks more than 95% of all intruders.
Check out this video to see the performance of the system under various scenarios of encounters and against various backgrounds and visual conditions. Note the distance estimates of where we spot a target, reported in each inlet shown in the left column.
Daedalean has been awarded a grant by Innosuisse to develop its BRAVEN (Bimodal Radar for Aviation Environments) Solution.
Daedalean believes one of the three key skills of a human pilot is to fly according to visual flight rules (VFR) and in visual conditions.
At Daedalean, the team has always focused on developing products for aviation with an eye toward future certification.
Daedalean recently looked into accidents related to navigation, flight planning, geographic disorientation & navigation error.
Daedalean’s Visual Awareness System (VXS) relies on the input from several (one to four) cameras installed on an aircraft.
Daedalean leverages the power of artificial intelligence to provide superhuman situational awareness systems to aerospace.
Daedalean’s data-collection aircraft photoshoot in the Swiss Alps illustrates the beauty of nature and technology.
Daedalean hires Dr. Yemaya Bordain to lead its new office in Phoenix, AZ, as the company officially opens for business in the United States.
Daedalean has concluded a joint research project with the FAA on Neural Network-Based Runway Landing Guidance for General Aviation.
Use the form opposite to get in touch with Daedalean directly to discuss any requirements you might have.