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This paper describes a novel approach to the problem of autonomous Robot Navigation in environments having less or no source of illumination. We have aimed at depth estimation and object recognition aspects, using the bio-inspired Dynamic Vision Sensor (DVS) asynchronous time-based image sensor (ATIS) silicon retina. Experiments were conducted in a dark environment using the ATIS camera, coupled with...
In this paper, the authors describe on a method of object identification by verification of Hough data. In this study, for corresponding to three-dimensional change of camera, we pay attention to the distribution pattern of Hough data. A positional relationship of the peaks as Hough data shows tendency to be kept, in case of camera shooting condition change. Using a characteristic of Hough data, it...
In this paper, the authors describe on the method of object identification by verification of Hough data. In this study, for corresponding to three-dimension change of camera, we pay attention to the distribution pattern of Hough data. A positional relationship of the peaks as Hough data shows tendency to be kept, in case of camera shooting condition change. Using the characteristic of Hough data,...
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