1 - 6 of 6 Chapters
[In recent years, the car industry has pushed forward large-scale research and industrial projects in Japan, the US and Europe related to the development of assisted driving technologies, thus allowing a real technology transfer from research to market. Several of these technologies are related...
[The automatic sign detection and recognition has been converted to a real challenge for high performance of computer vision and machine learning techniques. Traffic sign analysis can be divided in three main problems: automatic location, detection and categorization of traffic signs. Basically,...
[To detect and classify objects contained in real images, acquired in unconstrained environments, is a challenging problem in computer vision, which complexity makes unfeasible the design of handcrafted solutions. In this chapter, the object detection problem is introduced, highlighting the main...
[Since the initials of Artificial Intelligence, many learning techniques have been proposed to deal with many artificial systems. The initial learning designs were proposed to deal with just two classes. Which option is the best one given two previous possibilities? To solve this problem using...
[Detection and recognition steps are the key elements of a full traffic sign system. In this chapter, a complete description of a complete traffic sign system and how the component pieces are glued together are provided. Starting with the stereo acquisition module, data are fed into an...
[Traffic sign recognition is a first step on the way to developing context-aware cars. But this context cannot be reduced to traffic signs, even if we are talking about visual information. Cars should be able to understand current conditions and to interpret visual information in a...
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