文章基本信息

标题：Deep learning-based image recognition for autonomous driving
本地全文：下载
作者：Hironobu Fujiyoshi ; Tsubasa Hirakawa ; Takayoshi Yamashita 等
期刊名称：IATSS Research
印刷版ISSN：0386-1112
出版年度：2019
卷号：43
期号：4
页码：1-9
DOI：10.1016/j.iatssr.2019.11.008
出版社：Elsevier
摘要：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.
关键词：Image recognition ; Computer vision ; Deep learning ; Convolutional neural network