Current collision avoidance techniques deployed on Unmanned Aerial Vehicles (UAVs) rely
on short-range sensors, such as proximity sensors, cameras, and microphones …

In this work, an ultra-sensitive flow sensor is presented, consisting of vertically grown
graphene nanosheets (VGNs) with a mazelike structure and an elastomer …

We present the optical design and experimental verification of resolving performance of a 3×
long wavelength infrared (LWIR) zoom camera for drones. The effective focal length of the …

An autonomous drone flying near obstacles needs to be able to detect and avoid the
obstacles or it will collide with them. In prior work, drones can detect and avoid walls using …

Abstract Unmanned Aerial Vehicles (UAVs) are widely considered the next breakthrough in
the ongoing Industry 4.0 revolution, thanks to their high mobility, on-demand deployment …

Urban environments pose significant challenges for drone flights due to their complex wind
patterns that can impact flight performance and stability. Detecting and mapping wind …

Autonomous drones can detect and avoid walls as the technology stands today, but they can
only do this with camera, ultrasonic, or laser sensors. This paper highlights how data mining …