Memory-Convolutional Networks : Method and Application to Visual Self-Localization Memory-Convolutional Networks : Method and Application to Visual Self-Localization

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Differential Visual Streams (DiVS) is a method to recognize common locations and quantify viewpoint differences between two image sequences, enabling robot self-localization along known paths (for which reference images exist) from images recorded by a single uncalibrated camera. It combines concepts from memory networks and convolutional networks, recent developments in machine learning with complementary features. Experiments show DiVS provides a sound basis for an image-based teach-replay navigation system working both indoors and outdoors, against variations in lighting and landscape composition.

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  • The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM

    The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6(0), 337-338, 2015

    一般社団法人 日本機械学会

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