Area Estimation of an Object Using Multiple Infrared Scanning Method for Non-vision Robotic System

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    This paper presents an obstacle detection based on multiple scanning of a non-stationary and discrete sensor for a non-vision robotic navigation system in an unknown environment. In Simultaneous Localization and Mapping (SLAM), complicated computation and expensive equipment are often used by many researchers to obtain an accurate and absolute result. Therefore, in this project, a low-cost and narrowband discrete sensor, namely, an infrared sensor is utilized to visualize the object as well as estimate its dimension and area for accuracy testing. This sensor is mounted on a rotary joint, which is formed by two servo motors, which are served as the vertical and horizontal axes movement during the scanning operation. Then, the scanned data is stored in a database and 2D graphical image of the scanned object based on these detection data are tabulated by using MATLAB 2D scatter plot toolbox. It is found that the multiple scanned data based on the infrared sensor is not suitable for size determination of an object instead it is suitable for object visualization.

     

     


  • Keywords


    2D image representation; infrared scanning method; microcontroller platform; object area estimation.

  • References


      [1] Simmons, R., Apfelbaum, D., Burgard, W., Fox, D., Moors, M., Thrun, S., & Younes, H. (2000, July). Coordination for multi-robot exploration and mapping, pp. 852-858.

      [2] Gageik, N., Benz, P., & Montenegro, S. (2015). Obstacle detection and collision avoidance for a UAV with complementary low-cost sensors. IEEE Access, 3, 599-609.

      [3] Humamatsu Photonics, K. K. (2011). Characteristics and use of Infrared Detectors. Hamamatsu City.

      [4] Strickland, W. H., & King, R. H. (1993). Characteristics of ultrasonic ranging sensors in an underground environment. US Department of the Interior, Bureau of Mines.

      [5] Daud, S., Mahmood, N., Leow, P. L., Kh, F., & Harun, C. (2013). Infrared sensor rig in detecting various object shapes. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(10), 4726-4732.

      [6] Adarsh, S., Kaleemuddin, S. M., Bose, D., & Ramachandran, K. I. (2016, September). Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/robot navigation applications. In IOP Conference Se-ries: Materials Science and Engineering (Vol. 149, No. 1, p. 012141). IOP Publishing.

      [7] Chu, L. C., & Chang, C. C. (2002). U.S. Patent No. 6,442,419. Washington, DC: U.S. Patent and Trademark Office.

      [8] Mohammad, T. (2009). Using ultrasonic and infrared sensors for distance measurement. World Academy of Science, Engi-neering and Technology, 51, 293-299.Humamatsu Photonics, K. K. (2011).

      [9] Tumbo, S. D., Salyani, M., Whitney, J. D., Wheaton, T. A., & Miller, W. M. (2002). Investigation of laser and ultrasonic ranging sensors for measurements of citrus canopy volume. Applied Engineering in Agriculture, 18(3), 367.

      [10] Hightower, J., Want, R., & Borriello, G. (2000). SpotON: An indoor 3D location sensing technology based on RF signal strength.

      [11] Meier, R. CoolTerm: A Simple Serial Port Terminal Application.

      [12] Zhong, G., Shao, Z., Deng, H., & Ren, J. (2017). Precise Position Synchronous Control for Multi-Axis Servo Systems. IEEE Trans. Industrial Electronics, 64(5), 3707-3717.


 

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Article ID: 21980
 
DOI: 10.14419/ijet.v7i4.18.21980




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