The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2018
Session ID : 2P2-C04
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Recognition of snow scenery images using deep learning for development of automatic snow melting device
*Shunsuke OTANI, Fujio IKEDA, Shigehiro TOYAMA
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Abstract

Snow on roads is removed by snowplow and they piled up aside of roads. Residents along the road have to remove the snow in front of their houses. It is heavy burden especially for elderly people. In our laboratory, we aim to develop to put into practical use an automatic snow melting device. In this research, we develop a system to recognize snow scenery from the information of photo images taken by a camera. We use a model learned by deep learning for yes-no classification of the images data. These complicated images are inflated by 30 times to distinguish with higher accuracy. We made hypotheses about features with common tendencies for miss-classified images. In particular, we examined improvement methods for checking the hypotheses by reprocessing the images with similar tendencies.

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© 2018 The Japan Society of Mechanical Engineers
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