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Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel
We constructed a large-scale 360{\deg} Image Intersection Identification (iii360) dataset for training and evaluation where 360{\deg} videos were collected from various areas such as school campus, downtown, suburb, and china town and demonstrate that our PDoT-based method achieves 88\% accuracy, which is significantly better than that achieved by the direct naive binary classification based method.
Building Movie Map -- A Tool for Exploring Areas in a City -- and its Evaluation
Frames of the video are localized on the map, intersections are detected, and videos are segmented.
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