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دسته بندی:
یادگیری عمیق - deep learning
سال انتشار:
2019
عنوان انگلیسی مقاله:
Road surface condition classification using deep learning
ترجمه فارسی عنوان مقاله:
طبقه بندی وضعیت سطح جاده با استفاده از یادگیری عمیق
منبع:
Sciencedirect - Elsevier - Journal of Visual Communication and Image Representation, 64 (2019) 102638: doi:10:1016/j:jvcir:2019:102638
نویسنده:
Lushan Cheng a, Xu Zhang a,⇑, Jie Shen b
چکیده انگلیسی:
Traditional image recognition technology currently cannot achieve the fast real-time high-accuracy performance
necessary for road recognition in intelligent driving. Deep learning models have been recently
emerging as promising tools to achieve this performance. The recognition performance of such models
can be boosted using appropriate selection of the activation functions. This paper proposes a deep learning
approach for the classification of road surface conditions, and constructs a new activation function
based on the rectified linear unit Rectified Linear Units (ReLu) activation function. The experimental
results show a classification accuracy of 94.89% on the road state database. Experiments on public datasets
demonstrate that the proposed convolutional neural network model with the improved activation
function has better generalization and excellent classification performance.
Keywords: Deep learning | Road condition | Activation function | Image recognition | Intelligent driving
قیمت: رایگان
توضیحات اضافی:
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