| Autor: |
Liu, Zhenyu, Fu, Runnan, Wang, Linjun, Jin, Yuzhen, Papakostas, Theodoros, Mainelli, Xenia Una, Voûte, R.L., Verbree, E., Basiri, Anahid, Gartner, Georg Gartner, Huang, Haosheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
LBS 2021: Proceedings of the 16th International Conference on Location Based Services |
| Popis: |
Because unknown interior layouts can have serious consequences in time-sensitive situations, crisis response teams request many potential solutions for visualizing indoor environments in crisis scenarios. This research uses a game engine to directly visualize point cloud data input of indoor environments for generating clear interaction between the environment and viewers, to aid decision-making in high-stress moments. The prospective final product is an integration of game-oriented visualization and cartography, hosted within Unreal Engine 4 (UE4), allowing users to navigate throughout an indoor environment, and customizing certain interaction features. The UE4 project consists of 4 modules: data preprocessing, render style, functional module, and user interface. Finally, this research uses a single-floor indoor point cloud dataset collected from a building in Rotterdam, the Netherlands for the implementation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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