Kartta Labs: Collaborative Time Travel

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dc.contributor.authorTavakkol, Sasan
dc.contributor.authorHan, Feng
dc.contributor.authorMayer, Brandon
dc.contributor.authorPhillips, Mark
dc.contributor.authorShahabi, Cyrus
dc.contributor.authorChiang, Yao-Yi
dc.contributor.authorKiveris, Raimondas
dc.date.accessioned2020-12-24T20:07:03Z
dc.date.available2020-12-24T20:07:03Z
dc.date.issued2021-01-05
dc.description.abstractWe 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.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.650
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71269
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research
dc.subject3d reconstruction
dc.subjecthistorical buildings
dc.subjecthistorical maps
dc.subjectopen data
dc.subjectopen source
dc.titleKartta Labs: Collaborative Time Travel
prism.startingpage5337

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