Autor: |
Barath Kumar K, Sasidaran K, Vinith Kannan A, Vishvanthan N |
Rok vydání: |
2016 |
Předmět: |
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Zdroj: |
2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). |
DOI: |
10.1109/aeeicb.2016.7538313 |
Popis: |
As a measure of enhancing the mobility in urban spheres, the driving skills of a person can be subjected to analysis. With the application of Internet of Things and Cloud computing, the proposed ‘Smart Driving Pattern Analysis System using Cloud based Sensor Fusion’ can be implemented to analyze, organize, generate and ascertain the results of a person's driving skills respectively. The incorporation of multiple sensor fusion in this endeavor will augment the accuracy in establishing the driving pattern analysis. For deploying the system globally, cloud computing is embedded so as to facilitate the data streaming from the sensors in the automobile. Taking into consideration of the framework and architecture in this system, the model of implementation will facilitate a hassle-free transit and reliable transportation in Metropolitan and Smart cities particularly. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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