Show simple item record

dc.contributor.authorFurda, Andreien_US
dc.contributor.authorVlacic, Ljuboen_US
dc.contributor.editorTatsuo Araien_US
dc.date.accessioned2017-05-03T12:07:40Z
dc.date.available2017-05-03T12:07:40Z
dc.date.issued2010en_US
dc.date.modified2011-03-22T07:03:35Z
dc.identifier.issn09153942en_US
dc.identifier.urihttp://hdl.handle.net/10072/37467
dc.description.abstractThis paper addresses the topic of real-time decision making for autonomous city vehicles, i.e. their ability to make appropriate driving decisions in any city traffic situation. After explaining the research question and addressing the state of research, the paper presents the vehicle decision making & control system architecture, explains the subcomponents which are relevant for decision making (World Model and Driving Maneuver subsystem), and presents the decision making process, which consists of two consecutive stages. While the first decision making stage uses a Petri net to model the safety-critical selection of feasible driving maneuvers, the second stage uses Multiple Criteria Decision Making (MCDM) methods to select the most appropriate driving maneuver, focusing on fulfilling objectives related to efficiency and comfort. Experimental tests in both a 3D simulation and realworld experiments attest that the developed approach is suitable to deal with the complexity of real-world city traffic situations.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherFuji Technology Press Ltden_US
dc.publisher.placeJapanen_US
dc.publisher.urihttp://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=ROBOT002200060002.xmlen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom694en_US
dc.relation.ispartofpageto701en_US
dc.relation.ispartofissue6en_US
dc.relation.ispartofjournalJournal of Robotics and Mechatronicsen_US
dc.relation.ispartofvolume22en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchControl Systems, Robotics and Automationen_US
dc.subject.fieldofresearchcode090602en_US
dc.titleReal-Time Decision Making for Autonomous City Vehiclesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2010
gro.hasfulltextNo Full Text


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record