AI Applications to Enhance MEMS Inertial Sensors in Aerospace
ABSTRACT
The aerospace community is growing at an exponential rate. Uncrewed Aerial Systems and Advanced Air Mobility vehicles are set to revolutionize the way we travel and transport goods. A key requirement for these vehicles is a resilient and robust navigation capability. Navigation when GPS is jammed, denied or spoofed is one of the most important challenges to solve for these vehicles. In this presentation we will cover recent research showing how AI is being used to provide new levels of performance for MEMS inertial sensors that could enable low SWaP (Size, Weight and Power) GPS Denied Navigation capabilities.
BIOGRAPHY
Drew has worked for 18 years in software engineering, AI, autonomous systems and computer vision. He holds an MS in Aerospace Engineering and BS in Physics from University of Minnesota. He leads the research team applying AI and computer vision technologies for aerial autonomous systems.