Kartta Labs: Collaborative Time Travel

Date
2021-01-05
Authors
Tavakkol, Sasan
Han, Feng
Mayer, Brandon
Phillips, Mark
Shahabi, Cyrus
Chiang, Yao-Yi
Kiveris, Raimondas
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5337
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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.
Description
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Location Intelligence Research, 3d reconstruction, historical buildings, historical maps, open data, open source
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10 pages
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Related To
Proceedings of the 54th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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