Drone proximity detection via air disturbance analysis

Q. Zhao; J. Hughes; D. Lyons

doi:10.1117/12.2556385

23 April 2020 Drone proximity detection via air disturbance analysis

Q. Zhao, J. Hughes, D. Lyons

Proceedings Volume 11425, Unmanned Systems Technology XXII; 114250L (2020) https://doi.org/10.1117/12.2556385
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

The use of unmanned aerial vehicles (drones) is expanding to commercial, scientific, and agriculture applications, including surveillance, product deliveries and aerial photography. One challenge for applications of drones is detecting obstacles and avoiding collisions. A typical solution to this issue is the use of camera sensors or ultrasonic sensors for obstacle detection or sometimes just manual control (teleoperation). However, these solutions have costs in battery lifetime, payload, operator skill. We note that there will be an air disturbance in the vicinity of the drone when it’s moving close to obstacles or other drones. Our objective is to detect obstacles from monitoring the aforementioned air disturbance, by analyzing the data from the drone’s gyroscope and accelerometer. Results from three experiments using the Crazyflie 2 micro drone are reported here. We show that it is possible to reliably detect when a drone is passing under another using by using data mining algorithms to recognize the air disturbance caused by the other drone.

Conference Presentation

Citation Download Citation

Q. Zhao, J. Hughes, and D. Lyons "Drone proximity detection via air disturbance analysis", Proc. SPIE 11425, Unmanned Systems Technology XXII, 114250L (23 April 2020); https://doi.org/10.1117/12.2556385

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available