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المؤلفون: Depin Peng, Jianping Wu, Duowei Li
المصدر: Journal of Advanced Transportation, Vol 2021 (2021)
مصطلحات موضوعية: Spiking neural network, Economics and Econometrics, TA1001-1280, Article Subject, Process (engineering), Traffic accident, Computer science, business.industry, Strategy and Management, Mechanical Engineering, Machine learning, computer.software_genre, Convolutional neural network, Public attention, Computer Science Applications, Domain (software engineering), Transportation engineering, Automotive Engineering, Artificial intelligence, Adaptation (computer science), business, Transportation and communications, Queue, computer, HE1-9990
وصف الملف: text/xhtml
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المؤلفون: Guanfeng Ji, Xiuping Zhao, Mingyang Pan, Shaoxi Li, Jing Li, Ruolan Zhang
المصدر: Journal of Advanced Transportation, Vol 2021 (2021)
مصطلحات موضوعية: Economics and Econometrics, TA1001-1280, Visual perception, Artificial neural network, Computer science, business.industry, Strategy and Management, Mechanical Engineering, Deep learning, Object (computer science), Machine learning, computer.software_genre, GeneralLiterature_MISCELLANEOUS, Object detection, Computer Science Applications, Task (project management), Transportation engineering, Automotive Engineering, Artificial intelligence, Construct (philosophy), business, Transportation and communications, Intelligent transportation system, computer, HE1-9990
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المؤلفون: Jianbo Li, Zhihao Xu, Zhiqiang Lv, Liping Fu, Chuanhao Dong
المصدر: IET Intelligent Transport Systems, Vol 16, Iss 2, Pp 133-147 (2022)
مصطلحات موضوعية: TA1001-1280, Computer science, business.industry, Mechanical Engineering, Transportation, Pattern recognition, QA75.5-76.95, Transportation engineering, Electronic computers. Computer science, Transfer (computing), Classification methods, Artificial intelligence, business, Law, General Environmental Science
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المؤلفون: Younhee Choi, Riel Castro-Zunti, Juan Yepez, Seok-Bum Ko
المصدر: IET Intelligent Transport Systems, Vol 15, Iss 11, Pp 1359-1371 (2021)
مصطلحات موضوعية: TA1001-1280, Computer science, business.industry, Mechanical Engineering, Transportation, Pattern recognition, QA75.5-76.95, Convolutional neural network, Transportation engineering, Electronic computers. Computer science, Recognition system, Artificial intelligence, business, Law, General Environmental Science
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المؤلفون: Dehai Chen, Zhijun Lei, Shiru Sun, Yuzhao Wang, Heng Shao
المصدر: Journal of Advanced Transportation, Vol 2021 (2021)
مصطلحات موضوعية: Economics and Econometrics, TA1001-1280, Article Subject, Computer science, business.industry, Strategy and Management, Mechanical Engineering, Feature extraction, Process (computing), Pattern recognition, Tracking system, Computer Science Applications, Transportation engineering, Identification (information), Feature (computer vision), Automotive Engineering, Key (cryptography), Artificial intelligence, Layer (object-oriented design), business, Transportation and communications, Intelligent transportation system, HE1-9990
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المؤلفون: Mandalapu Sarada Devi, Janak D. Trivedi, Dave Dhara
المصدر: Scientific Journal of Silesian University of Technology. Series Transport, Vol 112, Pp 201-209 (2021)
مصطلحات موضوعية: TA1001-1280, Computer science, business.industry, Mechanical Engineering, Aerospace Engineering, deep learning, Transportation, Pattern recognition, Engineering (General). Civil engineering (General), Convolutional neural network, vehicle classification, convolution neural network, Transportation engineering, intelligent transportation system, Automotive Engineering, Artificial intelligence, TA1-2040, business, Civil and Structural Engineering
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1e8c9a6031c51d26ed84d20372d949
http://sjsutst.polsl.pl/archives/2021/vol112/201_SJSUTST112_2021_Trivedi_Devi_Dhara.pdf -
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المؤلفون: Rui Bai, Xudong Zhang, Yu Zhang, Jiong Li, Xixia Liu
المصدر: IET Intelligent Transport Systems, Vol 15, Iss 11, Pp 1372-1387 (2021)
مصطلحات موضوعية: Lidar, Sensor fusion, Fusion, TA1001-1280, Obstacle detection and tracking, Computer science, business.industry, Mechanical Engineering, Transportation, QA75.5-76.95, Tracking (particle physics), Transportation engineering, Electronic computers. Computer science, Obstacle, Autonomous Vehicle, Computer vision, Artificial intelligence, business, Law, Urban environment, General Environmental Science
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8
المصدر: Journal of Advanced Transportation, Vol 2021 (2021)
مصطلحات موضوعية: Economics and Econometrics, TA1001-1280, Article Subject, Computer science, business.industry, Strategy and Management, Mechanical Engineering, Training (meteorology), Machine learning, computer.software_genre, Reflectivity, Object detection, Computer Science Applications, Transportation engineering, Variable (computer science), Automotive Engineering, Recognition system, Traffic sign recognition, Advanced driver, Artificial intelligence, business, Transportation and communications, computer, HE1-9990, Sign (mathematics)
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المؤلفون: Xiaoyun Zhao, Johan Håkansson, Paria Sadeghian
المصدر: Journal of Traffic and Transportation Engineering (English ed. Online), Vol 8, Iss 4, Pp 467-482 (2021)
مصطلحات موضوعية: Transportteknik och logistik, Computer science, Transportation, computer.software_genre, Tracking (particle physics), Traffic engineering, Rule-based method, Machine learning, Tracking data, Transport Systems and Logistics, Civil and Structural Engineering, TA1001-1280, business.industry, Deep learning, Supervised learning, Mode (statistics), Transport mode detection, Tracking system, Statistical learning, Transportation engineering, Global Positioning System, Data mining, Artificial intelligence, Inefficiency, business, computer
وصف الملف: application/pdf
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المؤلفون: Michelle Andrade, Sara Ferreira, Philippe Barbosa Silva
المصدر: Journal of Traffic and Transportation Engineering (English ed. Online), Vol 7, Iss 6, Pp 775-790 (2020)
مصطلحات موضوعية: Computer science, Road safety modeling, 0211 other engineering and technologies, Decision tree, Evolutionary algorithm, Crash prediction, Transportation, Crash, 02 engineering and technology, Machine learning, computer.software_genre, Crash injury severity, 021105 building & construction, 0502 economics and business, Civil and Structural Engineering, Protocol (science), 050210 logistics & transportation, Artificial neural network, business.industry, 05 social sciences, Systematic literature review, lcsh:TA1001-1280, Regression analysis, Regression, Transportation engineering, Systematic review, Artificial intelligence, lcsh:Transportation engineering, business, computer