In situations where information infrastructure is destroyed or not available, on-demand information infrastructure is pivotal for the success of rescue missions. In this paper, a drone-carried on-demand information infrastructure for long-distance WiFi transmission system is developed. It can be used in the areas including emergency response, public event, and battlefield. In years development, the Drone WIFI System has developed from single-CPU platform, twin-CPU platform, Atmega2560 platform to NVIDIA Jetson TX2 platform. By the upgrade of the platform, the hardware shows more and more reliable and higher performance which make the application of the platform more and more exciting. The latest TX2 platform can provide real time and thermal video transmission, also application of deep learning of object recognition and target tracing. All these up-to-date technology brings more application scenarios to the system. Therefore, the system can serve more people in more scenarios.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1248501 |
| Date | 08 1900 |
| Creators | Gu, Yixin |
| Contributors | Fu, Shengli, Li, Xinrong, Wan, Yan, Wang, Shushaw |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | xii, 116 pages, Text |
| Rights | Public, Gu, Yixin, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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