Soft Radial Basis Cellular Neural Network (SRB-CNN) based robust low-cost truck detection using a single presence detection sensor
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- 作者：Ahmad Haj Mosaa ; ahmad.hajmosa@aau.at" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Kyandoghere Kyamakyaa ; kyandoghere.kyamakya@aau.at" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ralf Junghansb ; ralf.junghans@swarco.de" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mouhannad Alia ; mouhannad.ali@aau.at" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Fadi Al Machota ; fadi.almachot@aau.at" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Markus Gutmanna ; markus.gutmann@aau.at" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Truck detection ; Vehicle classification ; Single loop detector ; Presence detectors ; Cellular neural network ; Particle swarm optimisation
- 刊名：Transportation Research Part C: Emerging Technologies
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：73
- 期：Complete
- 页码：105-127
- 全文大小：2371 K
文摘
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A novel Soft Radial Basis Cellular Neural Network Architecture is suggested to be a novel classification framework.
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A novel universal Truck detection framework based on a single presence detector.
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Consideration of both “STOP” and “NON-STOP” scenarios in the detection of trucks.
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A set of novel features is suggested and evaluated for single presence detectors used for Truck detection.