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Data Fusion for Driver Behaviour Analysis

Intelligent Systems Laboratory, Universidad Carlos III de Madrid/Avda. de la Universidad 30, 28911 Leganés, Spain
Author to whom correspondence should be addressed.
All authors contributed equally to this work.
Academic Editor: Felipe Jimenez
Sensors 2015, 15(10), 25968-25991;
Received: 5 August 2015 / Revised: 29 September 2015 / Accepted: 9 October 2015 / Published: 14 October 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
A driver behaviour analysis tool is presented. The proposal offers a novel contribution based on low-cost hardware and advanced software capabilities based on data fusion. The device takes advantage of the information provided by the in-vehicle sensors using Controller Area Network Bus (CAN-BUS), an Inertial Measurement Unit (IMU) and a GPS. By fusing this information, the system can infer the behaviour of the driver, providing aggressive behaviour detection. By means of accurate GPS-based localization, the system is able to add context information, such as digital map information, speed limits, etc. Several parameters and signals are taken into account, both in the temporal and frequency domains, to provide real time behaviour detection. The system was tested in urban, interurban and highways scenarios. View Full-Text
Keywords: human factors; CAN-BUS; driver behaviour human factors; CAN-BUS; driver behaviour
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MDPI and ACS Style

Carmona, J.; García, F.; Martín, D.; Escalera, A.D.l.; Armingol, J.M. Data Fusion for Driver Behaviour Analysis. Sensors 2015, 15, 25968-25991.

AMA Style

Carmona J, García F, Martín D, Escalera ADl, Armingol JM. Data Fusion for Driver Behaviour Analysis. Sensors. 2015; 15(10):25968-25991.

Chicago/Turabian Style

Carmona, Juan, Fernando García, David Martín, Arturo De la Escalera, and José María Armingol. 2015. "Data Fusion for Driver Behaviour Analysis" Sensors 15, no. 10: 25968-25991.

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