SHERP

An Optical Helmet-Tracking System Using EKF-based PF

Cited 0 time in webofscience Cited 0 time in scopus
Authors
Kim, Youngil; Lee, Youngjun; Park, Chan Gook
Issue Date
2008-08-19
Citation
AIAA Guidance, Navigation and Control Conference and Exhibit, 18-21 August 2008, Honolulu, Hawaii
Abstract
This paper reports on an optical helmet-tracking system that estimates the attitude and
position of a pilot’s head for weapon cueing. The optical helmet-tracking system consists of
an infrared stereo camera, infrared LEDs on the helmet, a frame grabber, and a computer
for signal processing. In addition, the optical helmet-tracking algorithms have a 3D
recursive algorithm, an estimation-and-extraction algorithm, and a 3D motion-estimation
algorithm. These algorithms were implemented using image processing, computer vision,
and filtering to estimate accurately the head motions of a pilot. In particular, the 3D motionestimation
algorithm used an extended Kalman filter (EKF)-based particle filter (PF). It can
be used in systems that have non-Gaussian noise distribution with a high-level of accuracy at
a high computational speed. We tested the accuracy of the optical helmet-tracking algorithm
in estimating 3D head motions.
Language
English
URI
http://hdl.handle.net/10371/27094
Files in This Item:
There are no files associated with this item.
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse