By Topic

Advanced Driver Assistance System for Fully Electric Vehicles — Functionalities & use cases

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
K. Demestichas ; National Technical University of Athens, 10682, Greece ; E. Adamopoulou ; M. Masikos ; R. Gimenez
more authors

Fully Electric Vehicles (FEVs) represent a promising solution for the reduction of fuel consumption, air and noise pollution in urban areas. However, the commercial viability of FEVs is at stake if the issues of (battery) autonomy are not dealt with in a sufficient manner. Project EcoGem - Cooperative Advanced Driver Assistance System for Green Cars - claims that the success and user acceptability of FEVs will predominantly depend on their electrical energy consumption rate and the corresponding degree of autonomy that they can offer. EcoGem is providing the efficient ICT-based solutions to this great issue, by having designed and developed a FEV-oriented highly-innovative Advanced Driver Assistance System, equipped with suitable monitoring, learning, reasoning and management capabilities that helps increasing the FEV's autonomy and energy efficiency.

Published in:

Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on

Date of Conference:

24-27 July 2012