Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems

التفاصيل البيبلوغرافية
العنوان: Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems
المؤلفون: Varun G. Menon, Alireza Jolfaei, Ali Kashif Bashir, Krishna Kant, Yen Kheng Tan, Chen Lv
المصدر: IEEE Sensors Journal. 21:15425-15426
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2021.
سنة النشر: 2021
مصطلحات موضوعية: Traffic efficiency, business.industry, Computer science, Real-time computing, Congestion management, Sensor fusion, Driving safety, Multiple sensors, Fog computing, Electrical and Electronic Engineering, business, Instrumentation, Intelligent transportation system, Fleet management
الوصف: The seamless integration of sensor technologies with the transportation infrastructure has leveraged the sensing and communication capabilities to achieve a sustainable intelligent transportation system through which safety, traffic control, and infotainment applications can benefit from multiple sensors deployed in different elements of the transportation system. Being one of the most active research fields in both academia and industry, sensor technologies enable various types of vehicular applications, such as autonomous driving, precise fleet management, intelligent traffic and congestion management, etc. A combination of low cost and reliable passive road sensors as well as traffic sensors (e.g., piezoelectric or magnetic micro-electro-mechanical system (MEMS) sensors) along with the IoT and fog computing provide an enormous potential for improving traffic efficiency, driving safety, and ride comfort.
تدمد: 2379-9153
1530-437X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d91c39a51fea61cfc42669bc16c6f14f
https://doi.org/10.1109/jsen.2021.3081195
حقوق: OPEN
رقم الأكسشن: edsair.doi...........d91c39a51fea61cfc42669bc16c6f14f
قاعدة البيانات: OpenAIRE