مروری بر مشخصه¬های فرمال و زبان Z

•   آرشیو : نسخه بهار 1399 - جلد اول
•   نوع مقاله : پژوهشی
•   کد پذیرش : 1359
•   موضوع : سایر شاخه های علوم رایانه
• نویسنده/گان : حامد بابایی، جابر کریم پور، امید جوانشیر
•   کلید واژه : چراغ راهنمایی و رانندگی، یادگیری ماشین، پردازش تصویر
•   Abstract :
  The number of users of driver assistance systems is increasing day by day. Increased car accidents, increased cost of living, financial and road safety, and traffic are the drivers of using driver assistance systems. Driver assistance systems can include speed controller, traffic signal detection, car detection and vehicle type. One of the most important driver assistance systems is the traffic light detection system. In recent years, researchers have been focusing on automatic detection of traffic lights. Accordingly, this thesis presents a method for identifying traffic lights by focusing on the red light. This thesis uses machine learning and image processing tools. Color transformation and statistical properties such as mean, median were used to extract the feature from the image. After selecting the feature, the nearest neighbor classification is used to identify the red light. The results were compared with the support vector machine and decision tree classifiers. The results showed that the proposed method can provide an acceptable performance in the detection of traffic lights. Therefore, the efficiency of the proposed method was evaluated on the basis of accuracy, recall and precision criteria, which were 94.65, 96.37 and 92.15%, respectively.
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•  صفحات : 43-53
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