A Review of Sensor Technologies for Perception in Automated Driving

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dc.contributor.authorMarti, Enrique David
dc.contributor.authorde Miguel, Miguel Angel
dc.contributor.authorGarcia, Fernando
dc.contributor.authorPerez, Joshue
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionCCAM
dc.date.issued2019-09-23
dc.descriptionPublisher Copyright: © 2009-2012 IEEE.
dc.description.abstractAfter more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. These systems rely on the information provided by on-board sensors, which allow to describe the state of the vehicle, its environment and other actors. Selection and arrangement of sensors represent a key factor in the design of the system. This survey reviews existing, novel and upcoming sensor technologies, applied to common perception tasks for ADAS and Automated Driving. They are put in context making a historical review of the most relevant demonstrations on Automated Driving, focused on their sensing setup. Finally, the article presents a snapshot of the future challenges for sensing technologies and perception, finishing with an overview of the commercial initiatives and manufacturers alliances that will show future market trends in sensors technologies for Automated Vehicles.en
dc.description.sponsorshipThis work has been partly supported by ECSEL Project ENABLE-S3 (with grant agreement number 692455-2), by the Spanish Government through CICYT projects (TRA2015-63708-R and TRA2016-78886-C3-1-R).
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent1294438
dc.identifier.citationMarti , E D , de Miguel , M A , Garcia , F & Perez , J 2019 , ' A Review of Sensor Technologies for Perception in Automated Driving ' , IEEE Intelligent Transportation Systems Magazine , vol. 11 , no. 4 , 8846569 , pp. 94-108 . https://doi.org/10.1109/mits.2019.2907630
dc.identifier.doi10.1109/mits.2019.2907630
dc.identifier.issn1939-1390
dc.identifier.otherresearchoutputwizard: 11556/778
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85072729283&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofIEEE Intelligent Transportation Systems Magazine
dc.relation.projectIDSpanish Government
dc.relation.projectIDHorizon 2020 Framework Programme, H2020, 692455
dc.relation.projectIDComisión Interministerial de Ciencia y Tecnología, CICYT, TRA2015-63708-R-TRA2016-78886-C3-1-R
dc.relation.projectIDElectronic Components and Systems for European Leadership, ECSEL, 692455-2
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsAutomated Driving
dc.subject.keywordsCameras
dc.subject.keywordsRobot sensing systems
dc.subject.keywordsAccidents
dc.subject.keywordsLaser radar
dc.subject.keywordsRoads
dc.subject.keywordsAutomated Driving
dc.subject.keywordsCameras
dc.subject.keywordsRobot sensing systems
dc.subject.keywordsAccidents
dc.subject.keywordsLaser radar
dc.subject.keywordsRoads
dc.subject.keywordsAutomotive Engineering
dc.subject.keywordsMechanical Engineering
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/692455/EU/European Initiative to Enable Validation for Highly Automated Safe and Secure Systems/ENABLE-S3
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/692455/EU/European Initiative to Enable Validation for Highly Automated Safe and Secure Systems/ENABLE-S3
dc.subject.keywordsFunding Info
dc.subject.keywordsThis work has been partly supported by ECSEL Project ENABLE-_x000D_S3 (with grant agreement number 692455-2), by the_x000D_Spanish Government through CICYT projects (TRA2015-_x000D_63708-R and TRA2016-78886-C3-1-R).
dc.subject.keywordsThis work has been partly supported by ECSEL Project ENABLE-_x000D_ S3 (with grant agreement number 692455-2), by the_x000D_ Spanish Government through CICYT projects (TRA2015-_x000D_ 63708-R and TRA2016-78886-C3-1-R).
dc.titleA Review of Sensor Technologies for Perception in Automated Drivingen
dc.typejournal article
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