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Title:
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TOWARD BETTER DRIVING WITH GAZE AWARENESS ENVIRONMENT SUPPORTED BY AREA SEGMENTATION |
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Author(s):
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Taketo Yamada, Kenji Matsuura, Hironori Takeuchi, Akihiro Kashihara, Kenichi Yamasaki and Genta Kurita |
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ISBN:
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978-989-8704-43-6 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Driving Simulator, U-Net, Grid Segmentation, Eye Tracker |
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Type:
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Full Paper |
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First Page:
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49 |
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Last Page:
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56 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their gaze with experts. Concrete method for this implementation includes U-Net that is one of major techniques of machine learning combined with grid segmentation. |
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