uAvionix announced that it has been granted a new patent critical to safe and secure integration of Unmanned Aircraft Systems (UAS) into National Airspace Systems (NAS).
U.S. Patent 10,733,894, titled “Direct-Broadcast Remote Identification (RID) Device for Unmanned Aircraft Systems (UAS)” addresses the critical need for direct air-to-air transmission of UAS identification information without requiring intermediary infrastructure such as cellular, satellite, or internet connectivity.
UAS RID functionality has become one of three technologies, along with command and control (C2), and Detect and Avoid (DAA), critical to enabling safe and secure UAS operations over people and beyond visual line of sight. RID has often been referred to as the “digital license plate” which protects the operator’s anonymity from the public while simultaneously providing for accountability to the regulator and authorities. This is accomplished by transmission of position information and registration information of both the aircraft and the remote pilot. While transmission of this data can be accomplished over mobile networks, air-to-air broadcast functionality is critical for delivery of this information in rural areas and as an aid to DAA.
“This patent is a reflection of uAvionix’s early thought leadership in the area of UAS surveillance and tracking,” said Christian Ramsey, President of uAvionix. “The rules proposed under the FAA’s remote identification NPRM validate that leadership. We’re proud to be a part of building the foundational elements for the aviation networks of the future.”
The Federal Aviation Administration (FAA) is expected to publish its final RID rule by the end of 2020. In its draft Notice of Public Rulemaking (NPRM), the FAA requires broadcast RID capability to be a component of the “Standard” RID type, which is required for any UAS which flies greater than 400’ in any direction from the control station.
Source: Press Release
UAV DACH: Beitrag im Original auf https://www.uasvision.com/2020/10/12/uavionix-receives-patent-for-uas-remote-identification/, mit freundlicher Genehmigung von UAS Vision automatisch importiert. Der Beitrag gibt nicht unbedingt die Meinung oder Position des UAV DACH e.V. wieder. Das Original ist in englischer Sprache. Für die Inhalte ist der UAV DACH e.V. nicht verantwortlich.