Neural net target-tracking system using structured laser patterns

Jae-Wan Cho; Yong-Bum Lee; Nam-Ho Lee; Soon-Yong Park; Jongmin Lee; Gapchu Choi; Sunghyun Baek; Dong-Sun Park

doi:10.1117/12.241934

7 June 1996 Neural net target-tracking system using structured laser patterns

Jae-Wan Cho, Yong-Bum Lee, Nam-Ho Lee, Soon-Yong Park, Jongmin Lee, Gapchu Choi, Sunghyun Baek, Dong-Sun Park

Proceedings Volume 2739, Acquisition, Tracking, and Pointing X; (1996) https://doi.org/10.1117/12.241934
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

In this paper, we describe a robot endeffector tracking system using sensory information from recently-announced structured pattern laser diodes, which can generate images with several different types of structured pattern. The neural network approach is employed to recognize the robot endeffector covering the situation of three types of motion: translation, scaling and rotation. Features for the neural network to detect the position of the endeffector are extracted from the preprocessed images. Artificial neural networks are used to store models and to match with unknown input features recognizing the position of the robot endeffector. Since a minimal number of samples are used for different directions of the robot endeffector in the system, an artificial neural network with the generalization capability can be utilized for unknown input features. A feedforward neural network with the generalization capability can be utilized for unknown input features. A feedforward neural network trained with the back propagation learning is used to detect the position of the robot endeffector. Another feedforward neural network module is used to estimate the motion from a sequence of images and to control movements of the robot endeffector. COmbining the tow neural networks for recognizing the robot endeffector and estimating the motion with the preprocessing stage, the whole system keeps tracking of the robot endeffector effectively.

Citation Download Citation

Jae-Wan Cho, Yong-Bum Lee, Nam-Ho Lee, Soon-Yong Park, Jongmin Lee, Gapchu Choi, Sunghyun Baek, and Dong-Sun Park "Neural net target-tracking system using structured laser patterns", Proc. SPIE 2739, Acquisition, Tracking, and Pointing X, (7 June 1996); https://doi.org/10.1117/12.241934

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