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dc.contributor.authorLattarulo, Ray
dc.contributor.authorPerez, Joshue
dc.contributor.authorDendaluze, Martin
dc.date.accessioned2018-01-26T11:19:19Z
dc.date.available2018-01-26T11:19:19Z
dc.date.issued2017-07
dc.identifier.citationLattarulo, Ray, Joshué Pérez, and Martin Dendaluce. “A Complete Framework for Developing and Testing Automated Driving Controllers.” IFAC-PapersOnLine 50, no. 1 (July 2017): 258–263. doi:10.1016/j.ifacol.2017.08.043.en
dc.identifier.issn2405-8963en
dc.identifier.urihttp://hdl.handle.net/11556/480
dc.description.abstractIntelligent vehicles have improved their highly and fully automated driving capacities in the last years. Most of the developments are driven by the fast evolution of embedded systems for the acquisition, perception and communication modules. However, the fast growing of the automated vehicle market demands modern tools for validation, integration and testing of these new embedded functionalities, specially related to Advanced Driving Assistance Systems (ADAS). In this paper, a testing methodology for validation of path planning and control algorithms for current and future automated vehicles is presented. A high degree of modularity and adaptability have been considered in the design of the proposed method. It is based on a software tool for vehicle modeling, called Dynacar, which allows a good trajectory definition, cooperative maneuvers interaction and virtual validation. Different types of vehicles, scenarios (i.e.: urban, interurban, highways under different environmental conditions) and controllers can be tested. Moreover, Hardware-In-the-Loop configuration (i.e. electronic control units) can be also tested. Simulation results show a good performance in the implementation and configuration of urban scenarios, using different controllers in the proposed frameworken
dc.description.sponsorshipAuthors wants to thank to the H2020 UnCoVerCPS Project (with grant number 643921) and the ESCEL Project ENABLE-S3 (with grant number 692455-2) for their support in the development of this worken
dc.language.isoengen
dc.publisherElsevier B.V.en
dc.titleA complete framework for developing and testing automated driving controllersen
dc.typeconferenceObjecten
dc.identifier.doi10.1016/j.ifacol.2017.08.043en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/643921/EU/Unifying Control and Verification of Cyber-Physical Systems/UNCOVERCPSen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/692455/EU/European Initiative to Enable Validation for Highly Automated Safe and Secure Systems/ENABLE-S3en
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsControl architectures in automotive controlen
dc.subject.keywordsIntelligent transportation systemsen
dc.subject.keywordsSimulationen
dc.subject.keywordsControl validationen
dc.subject.keywordsControl testingen
dc.issue.number1en
dc.journal.titleIFAC-PapersOnLineen
dc.page.final263en
dc.page.initial258en
dc.volume.number50en
dc.conference.titleIFAC 2017 World Congress, Toulouse, Franceen


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