Quadrocopter Control in Auto Tracking Mode
Andrey Mikhaylov, Polina Kovalenko, Alexander Kataev, Elena Maksimova, Anna Alekseenko
Available Online December 2017.
- 10.2991/itsmssm-17.2017.37How to use a DOI?
- quadrocopter, ROS, catkin, AR.Drone, object tracking, OpenCV
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.
- © 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 -