Chapter
Jul 2, 2019
Comparative Analysis of Several Area Detection Methods of Vehicle Front Windshields
Authors: Chihang Zhao [email protected], Xin Shi, Zhichen Qian, Yanwei Li, and Aiwei ChenAuthor Affiliations
Publication: CICTP 2019
Abstract
Characteristics of the area of the vehicle front windshield, including decorations and labels, are important for vehicle retrieval, and how to detect the area of vehicle front windshield is an interesting topic. First, a novel area detection method of the vehicle front windshield, including vehicle detection and front windshield ROI positioning, is proposed. Second, several other area detection methods of vehicle front windshield are analyzed comparatively. Finally, the comparative experiments are carried out, and the experimental results indicate that the proposed area detection method of vehicle front windshield offers the best classification performance, the recognition rate of which is over 90.70%.
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Published In
CICTP 2019
Pages: 2249 - 2257
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
School of Transportation, Southeast Univ., Nanjing 211189, P.R. China. E-mail: [email protected]
Xin Shi
Construction Command Office, Shijiazhuang City Rd., Shijiazhuang 050011, P.R. China.
Zhichen Qian
School of Transportation, Southeast Univ., Nanjing 211189, P.R. China.
Yanwei Li
Hebei Provincial Communications Planning and Design Institute, Shijiazhuang 050011, P.R. China.
Aiwei Chen
School of Transportation, Southeast Univ., Nanjing 211189, P.R. China.
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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