The Used of Infrared Sensor for 3D Image Reconstruction
DOI:
https://doi.org/10.11113/jt.v73.4257Abstract
In this paper, new development of a sensor rig device with infrared sensors is used to reconstruct the 3D image of an object’s surfaces. Five sensors have been used to acquire data that measure distance from the object and sensors. A stepper motor controls the object rotation with 2 degrees per turn. A few objects such as tulip, curvilinear, flower and star shape have been selected for data collection, and the results proved that this sensor rig device is capable of reconstruct a 3D image of an object’s surface. A prosthetic model with distinct size in diameter was tested to prove that this device is capable of measuring distance with different size. From the results obtained, this sensor rig device shows a capability to reconstruct 3D image of an object surfaces with simple post processing technique. A prosthetic object was tested and results show that the accuracy was around 75%.Â
References
G. Benet, F. Blanes, J.E Simo, P. Perez. 2002. Using Infrared Sensors for Distance Measurement in Mobile Robots. Robotics and Autonomous Systems 1006 (2002). 1–12.
Guivant, J., Nebot, E., Baiker, S. 2000. Localization and Map Building Using Laser Range Sensors in Outdoor Applications. Journal of Robotics Systems. 17(10): 565–583.
T. Chin-Fu, W. Yuan-Kai, et al. 2011. Implementation and Analysis of Range-finding Based on Infrared Techniques. Control Conference (ASCC), 2011 8th Asian.
A. Tar, G. Cserey. 2011. Object Outline and Surface-Trace Detection Using Infrared Proximity Array. IEEE Sensors Journal. 11(10): 2486–2493.
O. Yasuhisa, A. Goto, N. Shidara. 2009. Surface-Trace Feasibility for IR-Based Position-Sensing Devices. IEEE Sensors Journal. 9(10).
M. Baba, K. Ohtani, and S. Komatsu. 3D Shape Recognition System by Ultrasonic Sensor Array and Genetic Algorithms. In Proc. IEEE 21st Instrum. Meas. Technol. Conf. IMTC’04. 3: 1948–1952.
H. Park, S. Lee, and W. Chung. 2006. Obstacle Detection and Feature Extraction Using 2.5 D Range Sensor System. In Proceeding of International Joint Conference SICE-ICASE’06. 2000–2004.
P. Hyunwoong, B. Sungjin, L. Sooyong. 2005. IR Sensor Array for a Mobile Robot. Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics Monterey. California, USA.
S. Lee, and W. Chung. 2006. Rotating IR Sensor System for 2.5 D Sensing. In Proceeding of IEEE/RSJ International Conference Intelligent Robot Systems. 814–819.
K. Saman. 2012. Twin Low-cost Infrared Range Finders for Detecting Obstacles Using in Mobile Platforms. In International Conference on Robotics and Biomimetics, Guangzhou, China. 1996–1999.
C. Yuzbasioglu, and B. Barshan. 2005. A New Method for Range Estimation Using Simple Infrared Sensors. In International Conference on Intelligent Robots and Systems (IROS2005). 1066–1071.
A. Tar, M. Koller, and G. Cserey. 2009. 3D Geometry Reconstruction Using Large Infrared Proximity Array for Robotic Applications. In Proc. 2009 IEEE International Conference on Mechatronics.
P. Var, R. Ferreira, V. Grossmann, M. Ribeiro, I. Norte, and A. Pais. 1997. Docking of a Mobile Platform Based on Infrared Sensors. In Proc. IEEE Int. Symp. Ind. Electron.,Guimaraes, Portugal. 735–740.
SHARP GP2D120XJ00F Analog Output Type Distance Measuring Sensor, datasheet.
Cytron Technologies SD02B 2A Stepper Motor Driver. datasheet.
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