Supplementary materials for the article: Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes.
doi: 10.4121/14933082.v1
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
doi: 10.4121/14933082
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
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licence
![cc-0.png logo](/static/images/licenses/cc-0.png)
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.
history
- 2021-07-15 first online, published, posted
publisher
4TU.ResearchData
format
zip, c# scripts, unity files, jpegs, pngs, fbx
associated peer-reviewed publication
Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes.
funding
- Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow (grant code 860410) [more info...] European Commission
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive RoboticsUniversity of Leeds, Institute of Transport Studies
DATA
files (4)
-
672 bytesMD5:
499c7ceac2d44a313857ec79d47ed316
Readme.txt -
166,617,592 bytesMD5:
0235e6401d08c59c23959862a0aa3d5a
AR_Concepts_AV-PED_Interactions.zip -
3,192,481 bytesMD5:
60829bf1c22dcd39094fc19df8c65b5e
Photographs_System_In_Operation.zip -
98,507,578 bytesMD5:
88462e08634a4337351d3f15b3ecd88e
Towards_future_pedestrian-vehicle interactions_Introducing_theoretically-supported_AR_prototypes_Supplementary_video.mp4 - download all files (zip)
268,318,323 bytes unzipped