FPCNN based Image processing for autonomous Quadcopter control
Publish place: 3rd International Conference on Electrical Engineering, Electronics and Smart Networks
Publish Year: 1399
نوع سند: مقاله کنفرانسی
زبان: English
View: 490
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
EESCONF03_017
تاریخ نمایه سازی: 6 شهریور 1399
Abstract:
In this paper, an image processing technique based on FPCNN is proposed for autonomous Quadcopter landing. In the UAV field, take-off and landing are two important processes, as any little miss operation in each of them will cause a crash. In some cases, the operator needs to take-off and land automatically. Hence an automatic process can improve the efficiency of Quadcopters. An environment detection method, decision-making unit and actuators that control the unit are necessary for achieving this goal. In this paper, Image Processing and FPCNN (Implemented in MATLAB) are used for detecting the zone of landing, decisions for controlling the motor are made through an interface board which receives instructions from MATLAB and transfer them to the main controller board. By using this method, Quadcopters can land on the specified area, which is defined 1*1 m plate and there is H in the middle of it, without operator intervention. Details of the proposed method are presented in different sections. Results state the efficiency of the method.
Keywords:
Authors
Hamed Pourmohammadi Emamiyeh
Ashkarsazan - E- Iranian, Tabriz,Iran
Mahsa Barghi Mehmandari
Sanaatgharan-E-Daghigh Azar