Kartta Labs: Collaborative Time Travel

dc.contributor.author Tavakkol, Sasan
dc.contributor.author Han, Feng
dc.contributor.author Mayer, Brandon
dc.contributor.author Phillips, Mark
dc.contributor.author Shahabi, Cyrus
dc.contributor.author Chiang, Yao-Yi
dc.contributor.author Kiveris, Raimondas
dc.date.accessioned 2020-12-24T20:07:03Z
dc.date.available 2020-12-24T20:07:03Z
dc.date.issued 2021-01-05
dc.description.abstract We introduce the modular and scalable design of Kartta Labs, an open source, open data, and scalable system for virtually reconstructing cities from historical maps and photos. Kartta Labs relies on crowdsourcing and artificial intelligence consisting of two major modules: Maps and 3D models. Each module, in turn, consists of sub-modules that enable the system to reconstruct a city from historical maps and photos. The result is a spatiotemporal reference that can be used to integrate various collected data (curated, sensed, or crowdsourced) for research, education, and entertainment purposes. The system empowers the users to experience collaborative time travel such that they work together to reconstruct the past and experience it on an open source and open data platform.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.650
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71269
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Location Intelligence Research
dc.subject 3d reconstruction
dc.subject historical buildings
dc.subject historical maps
dc.subject open data
dc.subject open source
dc.title Kartta Labs: Collaborative Time Travel
prism.startingpage 5337
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