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Sensors 2016, 16(10), 1618; doi:10.3390/s16101618

Vehicle Maneuver Detection with Accelerometer-Based Classification

Department of Communications and Information Engineering, Computer Science Faculty, University of Murcia, 30080 Murcia, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 12 July 2016 / Revised: 14 September 2016 / Accepted: 23 September 2016 / Published: 29 September 2016
(This article belongs to the Section Physical Sensors)
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Abstract

In the mobile computing era, smartphones have become instrumental tools to develop innovative mobile context-aware systems. In that sense, their usage in the vehicular domain eases the development of novel and personal transportation solutions. In this frame, the present work introduces an innovative mechanism to perceive the current kinematic state of a vehicle on the basis of the accelerometer data from a smartphone mounted in the vehicle. Unlike previous proposals, the introduced architecture targets the computational limitations of such devices to carry out the detection process following an incremental approach. For its realization, we have evaluated different classification algorithms to act as agents within the architecture. Finally, our approach has been tested with a real-world dataset collected by means of the ad hoc mobile application developed. View Full-Text
Keywords: vehicle maneuver detection; accelerometer classification; mobile system vehicle maneuver detection; accelerometer classification; mobile system
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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

Cervantes-Villanueva, J.; Carrillo-Zapata, D.; Terroso-Saenz, F.; Valdes-Vela, M.; Skarmeta, A.F. Vehicle Maneuver Detection with Accelerometer-Based Classification. Sensors 2016, 16, 1618.

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