Rule-based target differentiation and position estimation based on infrared intensity measurements

Tayfun Aytac; Billur Barshan

doi:10.1117/1.1570428

1 June 2003 Rule-based target differentiation and position estimation based on infrared intensity measurements

Tayfun Aytac, Billur Barshan

Author Affiliations +

Optical Engineering, Vol. 42, Issue 6, (June 2003). https://doi.org/10.1117/1.1570428

This study investigates the use of low-cost infrared sensors in the differentiation and localization of target primitives commonly encountered in indoor environments, such as planes, corners, edges, and cylinders. The intensity readings from such sensors are highly dependent on target location and properties in a way that cannot be represented in a simple manner, making the differentiation and localization difficult. We propose the use of angular intensity scans from two infrared sensors and present a rule-based algorithm to process them. The method can achieve position-invariant target differentiation without relying on the absolute return signal intensities of the infrared sensors. The method is verified experimentally. Planes, 90-deg corners, 90-deg edges, and cylinders are differentiated with correct rates of 90%, 100%, 82.5%, and 92.5%, respectively. Targets are localized with average absolute range and azimuth errors of 0.55 cm and 1.03 deg. The demonstration shows that simple infrared sensors, when coupled with appropriate processing, can be used to extract a significantly greater amount of information than they are commonly employed for.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Tayfun Aytac and Billur Barshan "Rule-based target differentiation and position estimation based on infrared intensity measurements," Optical Engineering 42(6), (1 June 2003). https://doi.org/10.1117/1.1570428

Published: 1 June 2003

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