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Proceedings Paper

Vision-based obstacle recognition system for automated lawn mower robot development
Author(s): Zalhan Mohd Zin; Ratnawati Ibrahim
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Paper Abstract

Digital image processing techniques (DIP) have been widely used in various types of application recently. Classification and recognition of a specific object using vision system require some challenging tasks in the field of image processing and artificial intelligence. The ability and efficiency of vision system to capture and process the images is very important for any intelligent system such as autonomous robot. This paper gives attention to the development of a vision system that could contribute to the development of an automated vision based lawn mower robot. The works involve on the implementation of DIP techniques to detect and recognize three different types of obstacles that usually exist on a football field. The focus was given on the study on different types and sizes of obstacles, the development of vision based obstacle recognition system and the evaluation of the system's performance. Image processing techniques such as image filtering, segmentation, enhancement and edge detection have been applied in the system. The results have shown that the developed system is able to detect and recognize various types of obstacles on a football field with recognition rate of more 80%.

Paper Details

Date Published: 8 July 2011
PDF: 8 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092K (8 July 2011); doi: 10.1117/12.896146
Show Author Affiliations
Zalhan Mohd Zin, Univ. Kuala Lumpur (Malaysia)
Ratnawati Ibrahim, Univ. Kuala Lumpur (Malaysia)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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