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Machine Vision System for Autonomous Guidance of Raisin-Collection Rover | ||
| AUT Journal of Mechanical Engineering | ||
| مقاله 5، دوره 7، شماره 1، 2023، صفحه 61-72 اصل مقاله (1.19 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/ajme.2023.21775.6045 | ||
| نویسندگان | ||
| Hamed Ramezani1؛ Mohammad Hadi Khoshtaghaza* 1؛ Saeed Minaei1؛ Gholamreza Akbarizadeh2 | ||
| 1Department of Biosystems Engineering, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran | ||
| 2Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran | ||
| چکیده | ||
| The development of autonomous vehicles based on machine vision system in various industries and agriculture is a challenging topic. In this study, the active-contour algorithm was utilized for path-tracking of an automatic raisin-collecting rover. For this purpose, the energy difference between the background and foreground levels is utilized to extract the boundary between raisins and the ground surface with good accuracy which is used for navigating the path. This was accomplished by developing a small unmanned rover equipped with four DC motors and a machine vision system. Field tests at the Sunny Raisin Court showed that the system was able to independently detect and navigate its path with an RMS error of 1.57 cm. The results of analysis of variance for accuracy of the path tracking showed that the effect of lighting conditions and speed on the accuracy was significant at the level of one percent. | ||
| کلیدواژهها | ||
| automatic guidance؛ image processing؛ active contour؛ feature extraction؛ intelligent control | ||
| مراجع | ||
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