Towards real-time visual and IMU data fusion

Tamas Zsedrovits, Peter Bauer, Akos Zarandy, Balint Vanek, Jozsef Bokor, Tamas Roska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper sensor models, implementation aspects, and simulations and measurements obtained during the development of a fixed wing mini UAV are presented. The aim is to develop a low cost UAV which can be integrated into the national airspace (NAS). The sense-and-avoid (SAA) capability has to be reliably run by the UAV in any critical situations as well. The SAA task is solved via an electro optical sensor-processor module. This module is capable of running complex processing algorithms thus it can estimate the relative pose of the camera easily. These estimates can be used in critical situations when the on-board IMU fails or can be utilized by a fused IMU/visual sensor system in order to achieve better accuracy in camera based task. The exhaustive investigation of the proposed sensor fusion architecture is not complete, however, the presented results are promising and are an excellent base for the work which is currently running and will be finished in the near future.

Original languageEnglish
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
Publication statusPublished - Feb 28 2014
EventAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Publication series

NameAIAA Guidance, Navigation, and Control Conference

Other

OtherAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
CountryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

Keywords

  • Camera
  • FPGA
  • GPS
  • IMU
  • Sensor fusion
  • UAV

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering

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  • Cite this

    Zsedrovits, T., Bauer, P., Zarandy, A., Vanek, B., Bokor, J., & Roska, T. (2014). Towards real-time visual and IMU data fusion. In AIAA Guidance, Navigation, and Control Conference (AIAA Guidance, Navigation, and Control Conference). https://doi.org/10.2514/6.2014-0604