Publikationen

Wissenschaftliche Publikationen

OrganisationTitelJournal / Konferenz /AutorenDownload
AITMonocular vision based pose estimation for enhanced cyclist safety2021Crnogorac, N., Sing, A., Beleznai, C., Vincze, M.Link 1
Link 2
AITMonocular 3D cyclist detection and pose estimation under a broad set of lightning conditionsBachelorarbeit an der TU Wien, 2021Sing, AlexanderLink
AITLearning 3D pose and target ID for accurate multi-targe trackingMasterarbeit an der TU Wien, 2022Sing, AlexanderLink
AITMonocular 3D detection and reID-enhanced tracking of multiple trafficROBOVIS’22Sing, AlexanderLink
Salzburg ResearchTowards C-ITS-based communication between bicycles and automated vehiclesLBS Symposium, 2021Gröchenig, Simon; Rehrl, KarlLink
Salzburg ResearchSelf-Localization Accuracy of Instrumented Probe BicyclesKrisp, J., Meng, L., Kumke, H. and Huang, H. (eds.): Proceedings 17th International Conference on Location Based Services (LBS2022), München, September 12-14, 2022Wies, Hannah; Beeking, MoritzLink
Salzburg ResearchBuilding and evaluating a web assembly based stream processing platform for a cooperative intelligent transport system environmentMasterarbeit an der Fachhochschule Salzburg, 2022Eisl, StefeanLink
Salzburg ResearchChallenges in assessing user attitudes toward self-driving cars for engagement in connected mobility researchOpen Innovation in Science Conference, Genf, 2022Prähauser-Hornung, VeronikaLink
Salzburg ResearchImproving cyclists’ safety via new C-ITS technologies in automated
and connected mobility
EU Safety Conference, Wien 2022Zankl, Cornelia; Rehrl, KarlLink
Salzburg Research, KFVNovel warning signals and solutions for cyclists’ safety in automated, connected mobilityEU Safety Conference, Wien 2022Hornung-Prähauser, Veronika; Hollauf, Eva; et al.Link
Salzburg ResearchChallenges in assessing road users’ attitudes toward driverless mobility to engage them in co-designing novel data-driven alerts for cyclistsSTS Conference, Graz, 2022Hornung-Prähauser, Veronika
Salzburg ResearchBike2CAV – Vermeidung von Kollisionen von Radfahrer:innen und vernetzten Fahrzeugen durch Fahrzeug-zu-X-KommunikationGI_Salzburg, Salzburg, 2022Zankl, Cornelia; Rehrl, KarlLink
Salzburg ResearchKollisionswarnungen für Fahrradfahrende: Präsentation und Diskussion aktueller Forschungsergebnisse aus dem Projekt Bike2CAVGI_Salzburg, Salzburg, 2023Zankl, CorneliaLink
Universität SalzburgWhere do bicyclists interact with other road users? Delineating potential risk zones in HD-mapsInternational Cycling Safety Conference, Dresden, 2022Lackner, Bernd-Michael; Loidl, MartinLink

Bike2CAV in den Medien

MediumErscheinungsdatumLink
Salzburger Nachrichten18.12.2020Link
Zeitschrift für Verkehrssicherheit (ZVS)März 2021Link
Der Standard13.01.2021Link
Die Presse11.02.2021Link
SWR (Fernsehbeitrag)April 2021Link
ATTC (Austrian Traffic Telematics Cluster) MagazinApril 2022Link
Salzburger NachrichtenFebruar 2023Link