DocumentCode :
1576727
Title :
Quantitatively characterizing automotive interior surfaces using an Optical TIR-based texture sensor
Author :
Zaklit, Josette ; Wang, Yongxiong ; Shen, Yantao ; Xi, Ning
Author_Institution :
Dept. of Electr. & Biomed. Eng., Univ. of Nevada-Reno, Reno, NV, USA
fYear :
2009
Firstpage :
1721
Lastpage :
1726
Abstract :
This paper presents the development of an optical total internal reflection (TIR) based surface texture sensor. Through combination of both contact and non-contact optical surface profiling mechanisms, the new sensor can be efficiently used for quantitative characterization of surface texture properties including texture pattern, roughness, and even mechanical property like softness, etc. We have used this sensor to measure and analyze texture properties of extensive automotive interior leather sample surfaces. The results demonstrate that the sensor can effectively assist the interior designer to quantify and classify essential texture features of automobile interior surfaces. Ongoing work is integrating the sensor into a scientific surface texture evaluation system for the purpose of improving automobile interior design.
Keywords :
automobiles; automotive materials; image texture; optical sensors; surface texture; automobile interior design; extensive automotive interior leather sample surfaces; noncontact optical surface profiling mechanisms; optical TIR-based texture sensor; optical total internal reflection; scientific surface texture evaluation system; surface texture sensor; Automobiles; Automotive engineering; Mechanical factors; Mechanical sensors; Optical reflection; Optical sensors; Rough surfaces; Sensor phenomena and characterization; Surface roughness; Surface texture; Automobile interior design; Mechanical properties; Surface profiling; Surface texture characterization; Total internal reflection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
Type :
conf
DOI :
10.1109/ROBIO.2009.5420440
Filename :
5420440
Link To Document :
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