Review of multi-modal image matching assisted inertial navigation positioning technology for unmanned aerial vehicle
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(1. School of Automation, Central South University, Changsha 410083, China;2. School of Aeronautics and Astronautics, Central South University, Changsha 410083, China;3. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)

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V19

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    Abstract:

    High-precision positioning and navigation in GPS(global positioning system) denied environments is a key technology for aircraft achieving autonomous scout, cruise, and strike. Vision navigation has the advantages of passive-type, low cost, and avoidable accumulated errors avoidable, etc. The fusion of vision and inertial navigation can give full play to their advantages and achieve the purpose of high-precision positioning. Firstly, the development of aircraft positioning technology based on multi-modal image matching assisted inertial navigation was summarized. Then this technology was elaborated in five aspects:the vision-internal calibration, multi-modal image matching, attitude algorithm, data fusion, and back-end optimization. Finally, four possible future directions were proposed as follows, two types of passive positioning combined navigation systems based on deep learning, multi-modal image matching and inertial navigation. The four possible future directions provide a reference for realizing multi-modal image matching assisted inertial navigation aircraft positioning technology.

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History
  • Received:December 26,2019
  • Revised:
  • Adopted:
  • Online: December 02,2020
  • Published: December 28,2020
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