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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 |
| Editors | Tung X. Bui |
| Publisher | IEEE Computer Society |
| Pages | 5337-5346 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780998133140 |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 - Virtual, Online Duration: Jan 4 2021 → Jan 8 2021 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| Volume | 2020-January |
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 |
|---|---|
| City | Virtual, Online |
| Period | 1/4/21 → 1/8/21 |
Bibliographical note
Funding Information:We thank Amol J. Kapoor for his contributions to this project and for his thorough review of this paper.
Publisher Copyright:
© 2021 IEEE Computer Society. All rights reserved.