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Traffic prediction systems are currently the most important techniques, as they can be wildly applied in different aspects. Given a set of past traffic data, a traffic prediction system is able to predict the future traffic conditions. However, the existing traffic prediction systems are hard to implement and are quite expensive. Hence, this work proposed a Matlab-based traffic prediction system,...
Panoramic images and panoramic cameras (or sensors) are of increasing importance for various applications in computer vision, computer graphics, visualization, and robotics. Various panoramic image capturing sensors have been developed for different purposes. But many of the sensing devices do not support stereo visualization. This paper reviews a methodology for stereo panorama acquisition using...
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