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Precise positioning of the Unmanned Aerial Vehicle (UAV) is critical to conduct many sophisticated civil and military applications in challenging environments. Many of the-state-of-the-art positioning methods rely on active range sensors. Among many available ranging sensors, Ultra-wideband (UWB) can provide many benefits such as high precision, power efficiency, and not prone to multipath propagation and noise. Thus, the UWB has recently been attracting many interests from the research community as a complementary positioning sensor. However, there is a significant lack of UWB benchmark data available to support developing, testing, and generalizing their own positioning methods using UWB sensors. In this website, we present a unique benchmark dataset that provides UWB and IMU signals acquired by a Q-Drone system in a diverse environment, including an indoor, open field, close to buildings, underneath the bridge, and semi-open tunnel. This benchmark also provides ground truth of UAV positions independently measured with robotic total stations.

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Citations

  1. Arjmandi, Z., Kang, J., Park, S., Kunwoo, & Gunho. (2020). Benchmark Dataset of Ultra-Wideband Radio Based UAV Positioning. IEEE International Conference on Intelligent Transportation Systems. [BibTeX]
    @article{zahra2020,
      title = {Benchmark Dataset of Ultra-Wideband Radio Based UAV Positioning},
      author = {Arjmandi, Zahra and Kang, Jungwon and Park, Kunwoo, Sohn and Gunho},
      year = {2020},
      journal = {IEEE International Conference on Intelligent Transportation Systems}
    }
    

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and is intended for non-commercial academic use. If you are interested in using the dataset for commercial purposes please contact us.

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