Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)

Quadrocopter Control in Auto Tracking Mode

Authors
Andrey Mikhaylov, Polina Kovalenko, Alexander Kataev, Elena Maksimova, Anna Alekseenko
Corresponding Author
Andrey Mikhaylov
Available Online December 2017.
DOI
https://doi.org/10.2991/itsmssm-17.2017.37How to use a DOI?
Keywords
quadrocopter, ROS, catkin, AR.Drone, object tracking, OpenCV
Abstract
In this work the following has been done: ROS configuring, installing of catkin, exploring of Parrot AR.Drone 2.0 application programming interface (API), quadrocopter and computer data exchange through Wi-Fi. Result of work is a project with implemented different object tracking methods: Histogram Back Projection and Template Matching. Mouse listener function to capture the object for tracking has been implemented. Implemented mapping of unknown terrain through monocular vision of quadrocopter (PTAM). Methods of quadrocopter control for moving through optimal path considering vector of tracking object movement has been developed based on implemented video stream object tracking methods.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Andrey Mikhaylov
AU  - Polina Kovalenko
AU  - Alexander Kataev
AU  - Elena Maksimova
AU  - Anna Alekseenko
PY  - 2017/12
DA  - 2017/12
TI  - Quadrocopter Control in Auto Tracking Mode
BT  - IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.37
DO  - https://doi.org/10.2991/itsmssm-17.2017.37
ID  - Mikhaylov2017/12
ER  -