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UAV Localization Using Panoramic Thermal Cameras

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Computer Vision Systems (ICVS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11754))

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Abstract

Drone detection and localization became a real challenge of many companies over the past years and for the years to come. Several technologies of different kind have given some results. Among them, thermal sensors, particularly panoramic thermal imager can provide good results. In this paper, we will address two subjects. First, we will introduce the characteristics that panoramic thermal imaging systems should reach to prove their efficiency in a C-UAV system. Then, in a second part, we will present the use of data captured from multiple 360° cameras together in order to localize targets in a 3D environment and the benefits that flow from it: distance, altitude, GPS coordinates, speed, physical dimensions can then be estimated.

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References

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Acknowledgements

This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme Advanced holistic Adverse Drone Detection, Identification and Neutralization (ALADDIN) under Grant Agreement No. 740859.

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Correspondence to Anthony Thomas .

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Thomas, A., Leboucher, V., Cotinat, A., Finet, P., Gilbert, M. (2019). UAV Localization Using Panoramic Thermal Cameras. In: Tzovaras, D., Giakoumis, D., Vincze, M., Argyros, A. (eds) Computer Vision Systems. ICVS 2019. Lecture Notes in Computer Science(), vol 11754. Springer, Cham. https://doi.org/10.1007/978-3-030-34995-0_69

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  • DOI: https://doi.org/10.1007/978-3-030-34995-0_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34994-3

  • Online ISBN: 978-3-030-34995-0

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