Next Article in Journal
Nitric Oxide Isotopic Analyzer Based on a Compact Dual-Modulation Faraday Rotation Spectrometer
Next Article in Special Issue
An LPV Adaptive Observer for Updating a Map Applied to an MAF Sensor in a Diesel Engine
Previous Article in Journal
Toward 3D Reconstruction of Outdoor Scenes Using an MMW Radar and a Monocular Vision Sensor
Previous Article in Special Issue
A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment
Article

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; https://doi.org/10.3390/s151025968
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
Show Figures

Figure 1

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. https://doi.org/10.3390/s151025968

AMA Style

Carmona J, García F, Martín D, Escalera ADl, Armingol JM. Data Fusion for Driver Behaviour Analysis. Sensors. 2015; 15(10):25968-25991. https://doi.org/10.3390/s151025968

Chicago/Turabian Style

Carmona, Juan; García, Fernando; Martín, David; Escalera, Arturo D.l.; Armingol, José M. 2015. "Data Fusion for Driver Behaviour Analysis" Sensors 15, no. 10: 25968-25991. https://doi.org/10.3390/s151025968

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop