Visual Odometry Approaches to Autonomous Navigation for Multicopter Model in Virtual Indoor Environment
DOI:
https://doi.org/10.25728/assa.2018.18.3.583Keywords:
indoor navigation, UAV, autonomous flight, visual odometryAbstract
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
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Articles