Title: ADAS multi-sensor fusion system-based security and energy optimisation for an electric vehicle

Authors: Adnane Cabani; Redouane Khemmar; Jean-Yves Ertaud; Romain Rossi; Xavier Savatier

Addresses: Normandie University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France ' Normandie University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France ' Normandie University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France ' Normandie University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France ' Normandie University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France

Abstract: The works presented in this paper are a part of VIRTUOSE project which is dedicated to the development of an intelligent electric vehicle with range-extender and multiple energy sources. Our objective is to present ADAS multi-sensor fusion system which aims to optimise the energy consumption of an electric vehicle. Firstly, the system is limited just to advise the driver using estimated measurements like speed, power and/or the real data as limit speed. Secondly, in order to meet real-time and energy consumption constraints, which can be imposed by some kind of scenarios, the system will not only inform the driver for the speed to be adopted but also take full control of the vehicle if necessary. The platform is validated within not only simulation phases but also under indoor (vehicle test bench) and outdoor (real traffic) environment.

Keywords: instruction speed; perception system; assisted driving system; multi-sensor system; energy consumption; energy minimisation.

DOI: 10.1504/IJVAS.2019.102445

International Journal of Vehicle Autonomous Systems, 2019 Vol.14 No.4, pp.345 - 366

Received: 24 Apr 2018
Accepted: 17 May 2019

Published online: 24 Sep 2019 *

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