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Detection and Classification of Human Motion in Blind Area Using Micro-Doppler Radar: Fundamental Experiments Toward the Prediction of Dash-out from Blind Area

To contribute to the development of prediction methods for pedestrians’ dash-out behaviors from blind areas, this paper presents the experimental results of a micro-Doppler radar-based sensing of a human standing behind a corner, surrounded by concrete walls, based on the effect of diffraction and reflection of radio waves. Based on the measured data, we performed a classification of the human movements that correspond to their various dash-out patterns. The results verified that the target in the blind area can be effectively detected, and that a clustering of pedestrian motion types to determine the risk of dash-out behaviors from the blind area is achieved.