期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 89, 期 -, 页码 286-295出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2017.07.042
关键词
Mobile mapping sensors; Point cloud; Traffic sign; Deep learning; Convolutional neural network; Spatial transformer network
类别
资金
- Spanish Ministry of Economy and Competitiveness
- European Regional Development Fund (ERDF) through the Project HERMES - Smart Citizen [TIN2013-46801-C4-1-R]
- European Regional Development Fund (ERDF) through the Project HERMES - S3D [TIN2013-46801-C4-4-R]
This paper presents an efficient two-stage traffic sign recognition system. First, 3D point cloud data is acquired by a LINX Mobile Mapper system and processed to automatically detect traffic signs based on their retro-reflective material. Then, classification is carried out over the point cloud projection on RGB images applying a Deep Neural Network which comprises convolutional and spatial transformer layers. This network is evaluated in three European traffic sign datasets. On the GTSRB, it outperforms previous state-of-the-art published works and achieves top-1 rank with an accuracy of 99.71%. Furthermore, a Spanish traffic sign recognition dataset is released. (C) 2017 Elsevier Ltd. All rights reserved.
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