RT Journal Article
T1 Evolving cloud-based system for the recognition of drivers' actions
A1 Skrjanc, Igor
A1 Andonovski, Goran
A1 Ledezma Espino, Agapito Ismael
A1 Sipele Siale, Botyuu Óscar
A1 Iglesias Martínez, José Antonio
A1 Sanchis de Miguel, María Araceli
AB This paper presents an evolving cloud-based algorithm for the recognition of drivers' actions. The general idea is to detect different manoeuvres by processing the standard signals that are usually measured in a car, such as the speed, the revolutions, the angle of the steering wheel, the position of the pedals, and others, without additional intelligent sensors. The primary goal of this investigation is to propose a concept that can be used to recognise various driver actions. All experiments are performed on a realistic car simulator. The data acquired from the simulator are pre-processed and then used in the evolving cloud-based algorithm to detect the basic elementary actions, which are then combined in a prescribed sequence to create tasks. Finally, the sequences of different tasks form the most complex action, which is called a manoeuvre. As shown in this paper, the evolving cloud-based algorithm can be very efficiently used to recognise the complex driver's action from raw signals obtained by typical car sensors. (C) 2017 Elsevier Ltd. All rights reserved.
PB Elsevier
SN 0957-4174
YR 2018
FD 2018-06-01
LK https://hdl.handle.net/10016/35806
UL https://hdl.handle.net/10016/35806
LA eng
NO This work has been supported by the Program Chair of Excellence of Universidad Carlos III de Madrid and Bank of Santander and the Spanish Ministry of Economy, Industry and Competitiveness, projects TRA2015-63708-R and TRA2016-78886-C3-1-R.
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RD 27 jul. 2024