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dc.contributor.authorAlex, Zyner
dc.contributor.authorStewart, Worrall
dc.date.accessioned2019-02-14
dc.date.available2019-02-14
dc.date.issued2019-02-14
dc.identifier.urihttp://hdl.handle.net/2123/20001
dc.description.abstractThis dataset is part of Next Generation Vehicles project. There are over 23,000 track recordings of naturalistic driving around five different unsignalised intersections around Sydney city. Recordings of vehicles traversing these five single lane roundabouts were taken using a Lidar based detection and tracking system onboard an intelligent vehicle, specifically the sensor suite produced by Ibeo GmbH. This dataset contains heading (radians), speed (m/s), type (car / truck / bike) and co-ordinates (meters) of each vehicle, relative the intersection entrance, at a rate of 25Hz. This data is provided as a CSV and a sample iPython notebook is included for demonstration of data analytics.en
dc.language.isoenen
dc.publisherThe University of Sydneyen
dc.rightsCreative Commons Attribution 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectIntelligent Vehiclesen
dc.subjectVehiclesen
dc.subjectDriver Predictionen
dc.titleFive Roundaboutsen
dc.typeDataseten
dc.subject.asrcFoR - 090602 - Control Systems, Robotics and Automationen
dc.subject.asrcFoR - 0801 - Artificial Intelligence and Image Processingen
dc.identifier.doi10.25910/5c64b8b7dba5b
dc.relation.arcDP160104081
usyd.facultyFaculty of Engineering and Information Technologiesen


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Creative Commons Attribution 4.0
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