378 UAS Incident Map

An interactive UAS incident map, an airspace coordinator collaborates with archaeologists, a drone swarm that sniffs out gas leaks, the X-56B UAV is destroyed, making drones and air taxis quiet, and AI drones that find meteorites.

UAV News

Explore Thousands Of FAA Drone And Unidentified Aircraft Incident Reports With Our Interactive Tool

The Drive has taken FAA incident reports of UAS and unidentified aircraft and created an interactive and searchable UAS incident map. The approximately 10,400 incident reports cover the period from November of 2014 until December 2020. Find the UAS incident map at UAV Geography. (Be patient, it can load slowly.)

Pax UAS Airspace Coordinators Collaborate with Local Archaeologists

Historic St. Mary’s City (HSMC) is the earliest settlement in Maryland with a fort erected in 1634. Archeologists working the site considered drones to be part of their archaeological toolkit, but they didn’t have an understanding of the regulatory requirements. Pax River’s then-UAS Airspace Coordinator Air Traffic Controller 1st Class James “Cody” Green stepped in and started working with HSMC to ensure the drone operations were safe and legal.

Swarm of autonomous tiny drones can localize gas leaks

Researchers at the Delft University of Technology Micro Air Vehicle Lab and Harvard University have developed a swarm of tiny drones that can autonomously detect and localize gas sources in cluttered indoor environments. The bio-inspired navigation and search strategy algorithm is called “Sniffy Bug.”

Video: Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments

NASA’s X-56B UAV destroyed in crash on 9 July

A “flight anomaly” caused the vehicle to crash. The aircraft was being used to test ways to suppress flutter. It is not clear if other X-56B vehicles exist, or when testing will resume.

Whisper Aero emerges from stealth to quiet drones and air taxis

Startup Whisper Aero believes they can make drones quiet. An electric thruster would reduce the drone’s noise down to background levels that would be difficult for the human ear to hear. Whisper isn’t saying much about their thruster design.

Automated drones being taught to locate fallen meteorites

Less than 2% of meteorites are recovered but University of California, Davis researchers believe they can increase that percentage using AI and automated drones. These would fly in grid patterns at low altitudes over areas where they suspect meteorites have fallen. Images from the UAV would be analyzed by software that employed machine learning to differentiate meteorites from terrestrial rocks.