Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Driving into the Future with ITS
IEEE Intelligent Systems
Smart Cars on Smart Roads: An IEEE Intelligent Transportation Systems Society Update
IEEE Pervasive Computing
A new class of Zernike moments for computer vision applications
Information Sciences: an International Journal
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Artificial intelligent AI driving is an emerging technology, freeing the driver from driving. Some techniques for automatically driving have been developed; however, most can only recognize the traffic signs in particular groups, such as triangle signs for warning, circle signs for prohibition, and so forth, but cannot tell the exact meaning of every sign. In this paper, a framework for a traffic system recognition system is proposed. This system consists of two phases. The segmentation method, fuzzy c-means FCM, is used to detect the traffic sign, whereas the Content-Based Image Retrieval CBIR method is used to match traffic signs to those in a database to find the exact meaning of every detected sign.