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dc.contributor.authorPendleton, Scott Drew
dc.contributor.authorAndersen, Hans
dc.contributor.authorDu, Xinxin
dc.contributor.authorShen, Xiaotong
dc.contributor.authorMeghjani, Malika
dc.contributor.authorEng, You Hong
dc.contributor.authorAng, Marcelo H.
dc.contributor.authorPendleton, Scott
dc.contributor.authorEng, You
dc.contributor.authorAng, Marcelo
dc.contributor.authorRus, Daniela L
dc.date.accessioned2018-01-30T20:33:18Z
dc.date.available2018-01-30T20:33:18Z
dc.date.issued2017-02
dc.date.submitted2017-01
dc.identifier.issn2075-1702
dc.identifier.urihttp://hdl.handle.net/1721.1/113359
dc.description.abstractAutonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a general overview of the recent developments in the realm of autonomous vehicle software systems. Fundamental components of autonomous vehicle software are reviewed, and recent developments in each area are discussed. Keywords: autonomous vehicles; localization; perception; planning; automotive control; multi-vehicle cooperationen_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/machines5010006en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titlePerception, Planning, Control, and Coordination for Autonomous Vehiclesen_US
dc.typeArticleen_US
dc.identifier.citationPendleton, Scott et al. "Perception, Planning, Control, and Coordination for Autonomous Vehicles." Machines 5, 1 (February 2017): 6 © 2017 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorRus, Daniela L
dc.relation.journalMachinesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-01-24T21:03:42Z
dspace.orderedauthorsPendleton, Scott; Andersen, Hans; Du, Xinxin; Shen, Xiaotong; Meghjani, Malika; Eng, You; Rus, Daniela; Ang, Marceloen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5473-3566
mit.licensePUBLISHER_CCen_US


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