Artificial Potential Field Simulation Framework for Semi-Autonomous Car Conception

@inproceedings{LeGouguec2017,
title = {Artificial Potential Field Simulation Framework for Semi-Autonomous Car Conception},
author = {Le Gouguec, Armand and Andras Kemeny and Alain Berthoz and Frédéric Merienne},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
issn = {0769-0266},
year  = {2017},
date = {2017-09-06},
booktitle = {Proceedings of the Driving Simulation Conference 2017 Europe VR},
pages = {19-22},
address = {Stuttgart, Germany},
organization = {Driving Simulation Association},
abstract = {Artificial potential field is investigated to provide a high level of synergy between driver and semiautonomous vehicle. This article presents a framework developed to test the performances of this approach. Stand-alone performances of this system is tested for a lane keeping and cruise control application. Performances are promising and future development is discussed.},
keywords = {artifial potential field, autonomous car, human-machine interface, simulation},
}

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TY  - CONF
TI  - Artificial Potential Field Simulation Framework for Semi-Autonomous Car Conception
AU  - Le Gouguec, Armand
AU  - Kemeny, Andras
AU  - Berthoz, Alain
AU  - Merienne, Frédéric
C1  - Stuttgart, Germany
C3  - Proceedings of the Driving Simulation Conference 2017 Europe VR
DA  - 2017/09/06
PY  - 2017
SP  - 19
EP  - 22
LA  - en-US
PB  - Driving Simulation Association
SN  - 0769-0266
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2017/artificial-potential-field-simulation-framework-for-semi-autonomous-car-conception
ER  - 

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