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
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.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-432-3
ISSN
2352-538X
DOI
10.2991/itsmssm-17.2017.37How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 175
EP  - 178
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.37
DO  - 10.2991/itsmssm-17.2017.37
ID  - Mikhaylov2017/12
ER  -