This study conducted basic experiments to develop a detection technique for the dart-out of pedestrians from non-line-of-sight areas based on diffracted waves measured by 2.4 GHz-band radar. We demonstrated accurate classification of walking motions with high or low risks of dart-out based on deep learning of range profile images.
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