SHERP

두 대의 적외선 카메라를 이용한 헤드 트랙커 시스템
Head Tracker System Using Two Infrared Cameras

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Authors
홍석기; 박찬국
Issue Date
2006-05
Publisher
한국항공우주학회 = The Korean Society for Aeronautical & Space Sciences
Citation
한국항공우주학회지, 제34권 제5호, 2006, pp.81~87
Keywords
특징점 추출 알고리즘3차원 움직임 추정 알고리즘확장 칼만 필터feature detection algorithm3D motion estimation algorithmextended Kalman filter
Abstract
In this paper, an experimental optical head tracker system is designed and constructed. The system is composed of the infrared LEOs and two infrared CCO cameras to filter out the interference of another light in the limited environment like the cockpit. Then the optical head tracker algorithm is designed by using the feature detection algorithm and the 3D motion estimation algorithm. The feature detection algorithm, used to obtain the 20 position coordinates of the features on the image plane, is implemented by using the thresholding and the masking techniques. The 3D motion estimation algorithm which estimates the motion of a pilot's head is implemented by using the extended Kalman filter (EKF). Also, we used the precise rate table to verify the performance of the experimental optical head tracker system and compared the rotational performance of this system with the inertial sensor.
ISSN
1225-1348
Language
Korean
URI
http://hdl.handle.net/10371/9661
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Journal Papers (저널논문_기계항공공학부)
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