The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14933082

Wilbert Tabone; Yee Mun Lee; Natasha Merat; R. (Riender) Happee; de Winter, Joost (2021): Supplementary materials for the article: Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/14933082.v1

Software

• Other Psychology and Cognitive Sciences
• Other Information and Computing Sciences

augmented reality, automated vehicles, autonomous vehicles, concepts, interfaces, vulnerable road users

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Wilbert Tabone , Yee Mun Lee , Natasha Merat , R. (Riender) Happee , Joost de Winter

Supplementary data for the paper Tabone, W., Lee, Y.M., Merat, N., Happee, R., & De Winter, J.C.F. (2021). Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes.
Data includes the code used to build the AR concepts, the supplementary video demonstrating the concepts working in a real environment, and photographs of the concepts operating on an iPad in situ.

• 2021-07-15 first online, published, posted

4TU.ResearchData

zip, c# scripts, unity files, jpegs, pngs, fbx

Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes.

• Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow (grant code 860410) [more info...] European Commission

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive Robotics
University of Leeds, Institute of Transport Studies