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Intelligent traffic vehicles (ITV) and road sign detection systems
العناوين الأخرى
نظم المركبات المرورية الذكية و نظم التعرف على إشارات الطرق
المؤلفون المشاركون
al-Barahamtushi, al-Hasanayn Muhammad al-Hasanayn
Abd al-Latif, Fatimah M.
al-Barahamtushi, Hasanayn Muhammad
المصدر
Journal of King Abdulaziz University : Computing and Information Technology Sciences
العدد
المجلد 7، العدد 1 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-16، 16ص.
الناشر
جامعة الملك عبد العزيز كلية الحاسبات و تقنية المعلومات
تاريخ النشر
2018-12-31
دولة النشر
السعودية
عدد الصفحات
16
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This paper monitors and detects the neighbor’s activities in smart vehicle using computer vision technology and innovation of Internet of Things (IoT).
These activities include vehicles monitoring, movement, and location status of vehicle.
The proposed solution recognized vehicles neighbors and collects data from whole sensors of vehicle, vehicle engine, road info, mobile of the derivers, and analyze such data to make some decisions.
The decision includes vehicles monitoring, automated accident, road safety, air pollution, and congestion reduction in road.
Therefore, the paper suggests a data analysis method to model many devices and engines, based on ontology formulation and IoT technology.
This in addition, modeling and managing over such places information from anywhere at any time.
Accordingly, the current paper investigate and focus on ideation and assessing the potential of computer vision using vehicles and roads signs detections, to control traffic congestion in smart roads.
Consequently, an intelligent traffic approach (vehicles and road signs recognitions) will be presented in real smart vehicles or drivers assistant system.
Several scenarios to identify potential components of ITVS to recognize neighbor’s vehicles based on ontology architecture and road signs issues will be analyzed and recognized.
The paper sketches out and develops an ontology-based to represent vehicle, drivers, roads, traffic and weather, so five ontologies will be drawn and presented.
Vehicle detection ontology-based with Haar features and computer vision library will be implemented and tested.
Although, traffic detection is used to help and warn drivers for specific actions.
Therefore, driving safety is increased and it will be comfort.
The recognition task of the vehicles and the detection task of signs within the road will be developed and tested
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Barahamtushi, al-Hasanayn Muhammad al-Hasanayn& Abd al-Latif, Fatimah M.& al-Barahamtushi, Hasanayn Muhammad. 2018. Intelligent traffic vehicles (ITV) and road sign detection systems. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 7, no. 1, pp.1-16.
https://search.emarefa.net/detail/BIM-887595
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Barahamtushi, al-Hasanayn Muhammad al-Hasanayn…[et al.]. Intelligent traffic vehicles (ITV) and road sign detection systems. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 7, no. 1 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-887595
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Barahamtushi, al-Hasanayn Muhammad al-Hasanayn& Abd al-Latif, Fatimah M.& al-Barahamtushi, Hasanayn Muhammad. Intelligent traffic vehicles (ITV) and road sign detection systems. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2018. Vol. 7, no. 1, pp.1-16.
https://search.emarefa.net/detail/BIM-887595
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 14-15
رقم السجل
BIM-887595
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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