Autonomous target following by unmanned aerial vehicles

Fahd Rafi; Saad Khan; Khurram Shafiq; Mubarak Shah

doi:10.1117/12.667356

9 May 2006 Autonomous target following by unmanned aerial vehicles

Fahd Rafi, Saad Khan, Khurram Shafiq, Mubarak Shah

Proceedings Volume 6230, Unmanned Systems Technology VIII; 623010 (2006) https://doi.org/10.1117/12.667356
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

In this paper we present an algorithm for the autonomous navigation of an unmanned aerial vehicle (UAV) following a moving target. The UAV in consideration is a fixed wing aircraft that has physical constraints on airspeed and maneuverability. The target however is not considered to be constrained and can move in any general pattern. We show a single circular pattern navigation algorithm that works for targets moving at any speed with any pattern where other methods switch between different navigation strategies in different scenarios. Simulation performed takes into consideration that the aircraft also needs to visually track the target using a mounted camera. The camera is also controlled by the algorithm according to the position and orientation of the aircraft and the position of the target. Experiments show that the algorithm presented successfully tracks and follows moving targets.

Citation Download Citation

Fahd Rafi, Saad Khan, Khurram Shafiq, and Mubarak Shah "Autonomous target following by unmanned aerial vehicles", Proc. SPIE 6230, Unmanned Systems Technology VIII, 623010 (9 May 2006); https://doi.org/10.1117/12.667356

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