Sasan Jafarnejad
Sasan Jafarnejad
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Revisiting Gaussian Mixture Models for Driver Identification
The increasing penetration of connected vehicles nowadays has enabled driving data collection at a very large scale. Many telematics …
Sasan Jafarnejad
,
German Castignani
,
Thomas Engel
Preprint
Project
Non-intrusive Distraction Detection Based on Car Sensor Data
Nowadays Internet-enabled phones have become ubiquitous, and we all witness the flood of information that often arrives with a …
Sasan Jafarnejad
,
German Castignani
,
Thomas Engel
Preprint
Project
Characterizing Driving Behaviors Through a Car Simulation Platform
Human mobility has opened up to many themes in recent years. Human behavior and how a driver might react to certain situations, whether …
Sébastien Faye
,
Sasan Jafarnejad
,
Juan Costamagna
,
German Castignani
,
Thomas Engel
Preprint
Towards a Real-Time Driver Identification Mechanism Based on Driving Sensing Data
The growing penetration of telematics systems and connectivity in vehicles has enabled a large variety of possible value-added services …
Sasan Jafarnejad
,
German Castignani
,
Thomas Engel
Preprint
Project
A car hacking experiment: When connectivity meets vulnerability
Interconnected vehicles are a growing commodity providing remote access to onboard systems for monitoring and controlling the state of …
Sasan Jafarnejad, Lara Codeca, Walter Bronzi, Raphael Frank, Thomas Engel
Preprint
Project
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