Scientific Publications

OrganisationTitleJournal / ConferenceAuthorsDownload
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 conditionsBachelor thesis at the TU Vienna, 2021Sing, AlexanderLink
AITLearning 3D pose and target ID for accurate multi-targe trackingMaster thesis at the TU Vienna, 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 environmentMaster thesis at the University of Applied Sciences Salzburg, 2022Eisl, StefeanLink
Salzburg ResearchChallenges in assessing user attitudes toward self-driving cars for engagement in connected mobility researchOpen Innovation in Science Conference, Geneva, 2022Prähauser-Hornung, VeronikaLink
Salzburg ResearchImproving cyclists’ safety via new C-ITS technologies in automated
and connected mobility
EU Safety Conference, Vienna 2022Zankl, Cornelia; Rehrl, KarlLink
Salzburg Research, KFVNovel warning signals and solutions for cyclists’ safety in automated, connected mobilityEU Safety Conference, Vienna 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 the media

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