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Sensors 2015, 15(10), 25968-25991;

Data Fusion for Driver Behaviour Analysis

Intelligent Systems Laboratory, Universidad Carlos III de Madrid/Avda. de la Universidad 30, 28911 Leganés, Spain
All authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
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)
Full-Text   |   PDF [3025 KB, uploaded 14 October 2015]   |  


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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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MDPI and ACS Style

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

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