شناخت یک پلت فرم فرود برای وسایل نقلیه بدون سرنشین با استفاده از تکنیک های مبتنی بر رایانه های کامپیوتری

This paper proposes an automatic expert system, based on image segmentation procedures, that assists safe landing through recognition and relative orientation of the UAV and platform. The proposed expert system exploits the human experience that has been incorporated into the machine vision system, which is mapped into the proposed image processing modules. The result is an improved reliability capability that could be incorporated into any UAV, and is especially robust for rotary wing UAVs. This is clearly a desirable fail-safe capability.