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The Warrigal Dataset: Multi-Vehicle Trajectories and V2V Communications

contributor authorWard, Jamie
contributor authorWorrall, Stewart
contributor authorAgamennoni, Gabriel
contributor authorNebot, Eduardo
date accessioned2020-03-13T00:14:46Z
date available2020-03-13T00:14:46Z
date issued2014
identifier issn1939-1390
identifier other6861521.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1139616?show=full
formatgeneral
languageEnglish
publisherIEEE
titleThe Warrigal Dataset: Multi-Vehicle Trajectories and V2V Communications
typeJournal Paper
contenttypeMetadata Only
identifier padid8321864
subject keywordscollision avoidance
subject keywordsintelligent transportation systems
subject keywordsradiocommunication
subject keywordsroad vehicles
subject keywordsV2V communication
subject keywordscollision avoidance
subject keywordsdriver intent prediction
subject keywordsintelligent transportation systems
subject keywordsmultivehicle trajectory
subject keywordsradio communication
subject keywordsroad mapping
subject keywordsroad maps
subject keywordsrobust system
subject keywordstemporal resolution
subject keywordsvehicle state information
subject keywordsvehicle-to-vehicle communication
subject keywordswarrigal dataset
subject keywordsAcceleration
subject keywordsAntennas
subject keywordsElectric vehicles
subject keywordsGlobal Positioning System
subject keywordsIntelligent vehicles
subject keywordsTraffic safety
subject keywordsTrajectory
identifier doi10.1109/MITS.2014.2315660
journal titleIntelligent Transportation Systems Magazine, IEEE
journal volume6
journal issue3
filesize2364181
citations0


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