Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study

Shared control algorithms have emerged as a promising approach for enabling real-time driver automated system cooperation in automated vehicles. These algorithms allow human drivers to actively participate in the driving process while receiving continuous assistance from the automated system in spec...

ver descrição completa

Detalhes bibliográficos
Autores: Sarabia Lezamiz, Joseba, Marcano Sandoval, Mauricio, Díaz, Sergio, Zubizarreta Pico, Asier, Pérez Rastelli, Joshue Manuel
Tipo de documento: artigo
Data de publicação:2024
País:España
Recursos:Universidad del País Vasco
Repositório:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/64517
Acesso em linha:http://hdl.handle.net/10810/64517
Access Level:Acceso aberto
Palavra-chave:shared control
automated driving
driver-automation cooperation
simulator-based study
safety
user acceptance
id ES_41eb99feec1a340c5bb9a12e66adfefc
oai_identifier_str oai:addi.ehu.eus:10810/64517
network_acronym_str ES
network_name_str España
repository_id_str
spelling Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator StudySarabia Lezamiz, JosebaMarcano Sandoval, MauricioDíaz, SergioZubizarreta Pico, AsierPérez Rastelli, Joshue Manuelshared controlautomated drivingdriver-automation cooperationsimulator-based studysafetyuser acceptanceShared control algorithms have emerged as a promising approach for enabling real-time driver automated system cooperation in automated vehicles. These algorithms allow human drivers to actively participate in the driving process while receiving continuous assistance from the automated system in specific scenarios. However, despite the theoretical benefits being analyzed in various works, further demonstrations of the effectiveness and user acceptance of these approaches in real-world scenarios are required due to the involvement of the human driver in the control loop. Given this perspective, this paper presents and analyzes the results of a simulator-based study conducted to evaluate a shared control algorithm for a critical lateral maneuver. The maneuver involves the automated system helping to avoid an oncoming motorcycle that enters the vehicle’s lane. The study’s goal is to assess the algorithm’s performance, safety, and user acceptance within this specific scenario. For this purpose, objective measures, such as collision avoidance and lane departure prevention, as well as subjective measures related to the driver’s sense of safety and comfort are studied. In addition, three levels of assistance (gentle, intermediate, and aggressive) are tested in two driver state conditions (focused and distracted). The findings have important implications for the development and execution of shared control algorithms, paving the way for their incorporation into actual vehicles.This research is supported by the EU Commission HADRIAN project. HADRIAN has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875597. The publication is supported by the EU Commission Aware2All project, under grant agreement No 97878.MDPIEuropean Commission2024202420242024info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/64517reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/EC/H2020/875597info:eu-repo/grantAgreement/EC/H2020/97878https://www.mdpi.com/1424-8220/24/2/562info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/es/© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).oai:addi.ehu.eus:10810/645172026-06-18T09:23:17Z
dc.title.none.fl_str_mv Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
title Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
spellingShingle Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
Sarabia Lezamiz, Joseba
shared control
automated driving
driver-automation cooperation
simulator-based study
safety
user acceptance
title_short Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
title_full Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
title_fullStr Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
title_full_unstemmed Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
title_sort Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
dc.creator.none.fl_str_mv Sarabia Lezamiz, Joseba
Marcano Sandoval, Mauricio
Díaz, Sergio
Zubizarreta Pico, Asier
Pérez Rastelli, Joshue Manuel
author Sarabia Lezamiz, Joseba
author_facet Sarabia Lezamiz, Joseba
Marcano Sandoval, Mauricio
Díaz, Sergio
Zubizarreta Pico, Asier
Pérez Rastelli, Joshue Manuel
author_role author
author2 Marcano Sandoval, Mauricio
Díaz, Sergio
Zubizarreta Pico, Asier
Pérez Rastelli, Joshue Manuel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv European Commission
dc.subject.none.fl_str_mv shared control
automated driving
driver-automation cooperation
simulator-based study
safety
user acceptance
topic shared control
automated driving
driver-automation cooperation
simulator-based study
safety
user acceptance
description Shared control algorithms have emerged as a promising approach for enabling real-time driver automated system cooperation in automated vehicles. These algorithms allow human drivers to actively participate in the driving process while receiving continuous assistance from the automated system in specific scenarios. However, despite the theoretical benefits being analyzed in various works, further demonstrations of the effectiveness and user acceptance of these approaches in real-world scenarios are required due to the involvement of the human driver in the control loop. Given this perspective, this paper presents and analyzes the results of a simulator-based study conducted to evaluate a shared control algorithm for a critical lateral maneuver. The maneuver involves the automated system helping to avoid an oncoming motorcycle that enters the vehicle’s lane. The study’s goal is to assess the algorithm’s performance, safety, and user acceptance within this specific scenario. For this purpose, objective measures, such as collision avoidance and lane departure prevention, as well as subjective measures related to the driver’s sense of safety and comfort are studied. In addition, three levels of assistance (gentle, intermediate, and aggressive) are tested in two driver state conditions (focused and distracted). The findings have important implications for the development and execution of shared control algorithms, paving the way for their incorporation into actual vehicles.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/64517
url http://hdl.handle.net/10810/64517
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/875597
info:eu-repo/grantAgreement/EC/H2020/97878
https://www.mdpi.com/1424-8220/24/2/562
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/es/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/es/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406888144142336
score 15.301603

Registros relacionados