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Prediction of microunmanned aerial vehicle flight behavior from two-dimensional intensity images

  • Published:2019-05-20 Issue:05 Volume:58 Page:1
  • ISSN:0091-3286
  • Container-title:Optical Engineering
  • language:
  • Short-container-title:Opt. Eng.

Author:

Rebert Martin1

Affiliation:

1. French-German Research Institute of Saint-Louis, Saint-Louis

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference41 articles.

1. Federal Aviation Administration—UAS sightings report,2018

2. Statement by Minister of Transport about a drone incident with a passenger aircraft in Quebec City,2019

3. Radar cross section measurements of small unmanned air vehicle systems in non-cooperative field environments;To,2009

4. Characteristics of the radar signature of multi-rotor UAVs;Harman,2016

5. Radar cross section measurement of unmanned aerial vehicles

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1. Fourier analysis in single photon imaging;Optics Express;2024-07-09

2. CW coherent detection lidar for micro-Doppler sensing and raster-scan imaging of drones;Optics Express;2023-02-14

3. Camera-guided real-time laser ranging for multi-UAV distance measurement;Applied Optics;2022-10-26

4. Machine Learning Strategies for the Implementation of a Surveillance Drone;2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE);2021-12-17

5. Prediction of MUAV flight behavior from active and passive imaging in complex environment;Laser Radar Technology and Applications XXV;2020-04-23
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