Share Email Print

Proceedings Paper

An embedded vision system for an unmanned four-rotor helicopter
Author(s): Kirt Lillywhite; Dah-Jye Lee; Beau Tippetts; Spencer Fowers; Aaron Dennis; Brent Nelson; James Archibald
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper an embedded vision system and control module is introduced that is capable of controlling an unmanned four-rotor helicopter and processing live video for various law enforcement, security, military, and civilian applications. The vision system is implemented on a newly designed compact FPGA board (Helios). The Helios board contains a Xilinx Virtex-4 FPGA chip and memory making it capable of implementing real time vision algorithms. A Smooth Automated Intelligent Leveling daughter board (SAIL), attached to the Helios board, collects attitude and heading information to be processed in order to control the unmanned helicopter. The SAIL board uses an electrolytic tilt sensor, compass, voltage level converters, and analog to digital converters to perform its operations. While level flight can be maintained, problems stemming from the characteristics of the tilt sensor limits maneuverability of the helicopter. The embedded vision system has proven to give very good results in its performance of a number of real-time robotic vision algorithms.

Paper Details

Date Published: 2 October 2006
PDF: 9 pages
Proc. SPIE 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 63840G (2 October 2006); doi: 10.1117/12.686776
Show Author Affiliations
Kirt Lillywhite, Brigham Young Univ. (United States)
Dah-Jye Lee, Brigham Young Univ. (United States)
Beau Tippetts, Brigham Young Univ. (United States)
Spencer Fowers, Brigham Young Univ. (United States)
Aaron Dennis, Brigham Young Univ. (United States)
Brent Nelson, Brigham Young Univ. (United States)
James Archibald, Brigham Young Univ. (United States)

Published in SPIE Proceedings Vol. 6384:
Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

© SPIE. Terms of Use
Back to Top