Visual Odometry Approaches to Autonomous Navigation for Multicopter Model in Virtual Indoor Environment

Authors

  • Alexandr Abdulov
  • Alexandr Abramenkov
  • Andrey Shevlyakov

DOI:

https://doi.org/10.25728/assa.2018.18.3.583

Keywords:

indoor navigation, UAV, autonomous flight, visual odometry

Abstract

Using simulators and virtual environments can simplify the development and testing of various control, behavior and navigation scenarios significantly. In this article we describe our experience using the ROS environment and the Gazebo simulator to develop an autonomous multicopter UAV that can navigate an unknown building and locate an exit using computer vision techniques.

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Published

2018-10-31

How to Cite

Abdulov, A., Abramenkov, A., & Shevlyakov, A. (2018). Visual Odometry Approaches to Autonomous Navigation for Multicopter Model in Virtual Indoor Environment. Advances in Systems Science and Applications, 18(3), 17–28. https://doi.org/10.25728/assa.2018.18.3.583