Big data tracking and automatic measurement technology for unmanned aerial vehicle trajectory based on MEMS sensor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06457-y.pdf
Reference28 articles.
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2. de Alteriis G, Conte C, Lo Moriello RS, Accardo D (2020) Use of consumer-grade MEMS inertial sensors for accurate attitude determination of drones. In: 2020 IEEE 7th international workshop on metrology for aerospace , pp 534–538. https://doi.org/10.1109/MetroAeroSpace48742.2020.9160134
3. Gross J, Gu Y, Gururajan S, Seanor B, Napolitano M (2010) A comparison of extended Kalman filter, sigma point Kalman filter, and particle filter in GPS/INS sensor fusion. AIAA Guidance, Navigation, and Control Conference. http://doi.org/https://doi.org/10.2514/6.2010-8332
4. Giordan D, Adams MS, Aicardi I et al (2020) The use of unmanned aerial vehicles (UAVs) for engineering geology applications. Bull Eng Geol Environ 79:3437–3481. https://doi.org/10.1007/s10064-020-01766-2
5. Gabriel S, Tiago A, Renato H et al (2016) A simplified approach to motion estimation in a UAV using two filters. IFAC-Papers OnLine 49(30):325–330. https://doi.org/10.1016/j.ifacol.2016.11.156
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