期刊
IATSS RESEARCH
卷 43, 期 4, 页码 244-252出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.iatssr.2019.11.008
关键词
Image recognition; Computer vision; Deep learning; Convolutional neural network
Various image recognition tasks were handled in the image recognition field prior to 2010 by combining image local features manually designed by researchers (called handcrafted features) and machine learning method. After entering the 2010, However, many image recognition methods that use deep learning have been proposed. The image recognition methods using deep learning are far superior to the methods used prior to the appearance of deep learning in general object recognition competitions. Hence, this paper will explain how deep learning is applied to the field of image recognition, and will also explain the latest trends of deep learning-based autonomous driving. (C) 2019 International Association of Traffic and Safety Sciences. Production and hosting by Elsevier Ltd.
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