AUDRIC2: A Modular and Highly Interconnected Automated Driving Framework Focus on Decision Making and Vehicle Control

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dc.contributor.authorLattarulo, Ray
dc.contributor.authorHidalgo, Carlos
dc.contributor.authorArizala, Asier
dc.contributor.authorPerez, Joshue
dc.contributor.institutionCCAM
dc.date.issued2021-09-19
dc.descriptionPublisher Copyright: © 2021 IEEE.
dc.description.abstractLast years, automated vehicle technologies made considerable progress in academia and the industry. However, there is still a need for more scalable solutions which ensure fast progress between the prototypes and the final deployments. In this sense, this work introduces the updated version of the AUtomated DRIving Core framework (AUDRIC), which aims for robust and reliable vehicle decision-making and control algorithms. The solution is modular and provides MATLAB and ROS interfaces. Also, it has the integration links between the CARLA simulator and Dynacar (in-house simulator). The Autoware. AI framework was integrated to support vehicle perception. This framework targets non-holonomic ground vehicles, such as passenger cars, buses, shuttles, non-holonomic industrial AGV, etc. A simulation around Tecnalia premises was used to verify the provided functionalities (Basque Country, Spain). This framework will continue its development with the support of the European project SHOW. Vehicle cooperation functions are considered as an upcoming feature.en
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationLattarulo , R , Hidalgo , C , Arizala , A & Perez , J 2021 , AUDRIC2 : A Modular and Highly Interconnected Automated Driving Framework Focus on Decision Making and Vehicle Control . in 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 . IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC , vol. 2021-September , Institute of Electrical and Electronics Engineers Inc. , pp. 763-769 , 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 , Indianapolis , United States , 19/09/21 . https://doi.org/10.1109/ITSC48978.2021.9564640
dc.identifier.citationconference
dc.identifier.doi10.1109/ITSC48978.2021.9564640
dc.identifier.isbn9781728191423
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85118459212&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
dc.relation.ispartofseriesIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
dc.relation.projectIDHorizon 2020 Framework Programme, H2020, 875530
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAutomotive Engineering
dc.subject.keywordsMechanical Engineering
dc.subject.keywordsComputer Science Applications
dc.titleAUDRIC2: A Modular and Highly Interconnected Automated Driving Framework Focus on Decision Making and Vehicle Controlen
dc.typeconference output
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