| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5030081 | Procedia Engineering | 2016 | 5 Pages |
Abstract
Digital Humanitarians are a powerful and effective resource to analyse the vast amounts of data that disasters generate. Aerial vehicles are increasingly being used for gathering high resolution imagery of affected areas, but require a lot of effort to effectively analyse, typically taking days to complete. We introduce CrowdAR, a real-time crowdsourcing platform that tags live footage from aerial vehicles flown during disasters. CrowdAR enables the analysis of footage within minutes, can rapidly plot snippets of the video onto a map, and can reduce the cognitive load of pilots by augmenting their live video feed with crowd annotations.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Elliot Salisbury, Sebastian Stein, Sarvapali Ramchurn,