Visualizing viewpoint movement on driving by space information rendering

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Abstract

Automobiles are necessary for movement. However many people die as a result of automobile accident. Automobile accident does not decrease to at all. On the other hand, we measure a gaze point and a trial to detect person’s interest is performed. The method measuring where person looks on an image is general in traditional eye movement measuring system. But we do not understand person’s interest without image analysis in the traditional system. We propose the method directly calculating three dimensional position of interest object from person’s eye images using virtual reality system without defining two dimensional position of interest object. We register all the candidate object with interest. We propose space information rendering technique to write in direct viewpoint information at virtual space by voting for the object when person watchs an object closely. We develop a driving simulator using virtual reality of a university neighborhood driving course. A beginner driver can know the eye movement of an expert driver by applying this proposed system for an expert driver and a beginner driver.

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Morita, S. (2018). Visualizing viewpoint movement on driving by space information rendering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11241 LNCS, pp. 205–214). Springer Verlag. https://doi.org/10.1007/978-3-030-03801-4_19

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