2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) 2014
DOI: 10.1109/sahcn.2014.6990337
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SenseFleet: A smartphone-based driver profiling platform

Abstract: Smartphones embed increasingly complex sensors that can be used for a wide range of connected applications. Their growing market penetration provides the opportunity to develop novel distributed sensing platforms that will constitute the foundation for emerging commercial applications. In this work we present SenseFleet, a smartphone-based driver profiling platform. The concept behind SenseFleet is to analyze the output of smartphone sensors while driving in order to identify risky maneuvers (e.g. acceleration… Show more

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Cited by 4 publications
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“…Castignani et alius [33,34] discuss SenseFleet, a driver profile platform that is able to detect risky driving events independently from the mobile device and vehicle. They use a Fuzzy system to compute a score for the different drivers using real-time context information like route topology or weather conditions.…”
Section: Related Workmentioning
confidence: 99%
“…Castignani et alius [33,34] discuss SenseFleet, a driver profile platform that is able to detect risky driving events independently from the mobile device and vehicle. They use a Fuzzy system to compute a score for the different drivers using real-time context information like route topology or weather conditions.…”
Section: Related Workmentioning
confidence: 99%
“…More details in [13]. In [5] the authors designed a pipeline named "Sense Fleet" based on the output analysis of such specific smartphone's sensors in order to identify and profile the subject who is driving. The method performs well but it suffers from the limitations of similar methods that use devices external to the car, therefore problems of invasiveness and compatibility with the automotive systems of the car.…”
Section: Related Workmentioning
confidence: 99%