论文标题

Kartta Labs:协作时间旅行

Kartta Labs: Collaborative Time Travel

论文作者

Tavakkol, Sasan, Han, Feng, Mayer, Brandon, Phillips, Mark, Shahabi, Cyrus, Chiang, Yao-Yi, Kiveris, Raimondas

论文摘要

我们介绍了Kartta Labs的模块化设计,该设计是一种开源,开放数据和可扩展系统,用于从历史地图和照片中重建城市。 Kartta Labs依赖于众包和人工智能,由两个主要模块组成:地图和3D模型。反过来,每个模块都由子模块组成,使系统能够从历史地图和照片中重建城市。结果是一个时空参考,可用于整合各种收集的数据(策划,感知或众包),以进行研究,教育和娱乐目的。该系统使用户能够体验协作时间旅行,以便他们共同重建过去并在开源和开放数据平台上体验它。

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.

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