Quadcopter Simulation Model for Research of Monitoring Tasks
| Autor: | Artemii Zenkin, Ivan Berman, Kanstantsin Pachkouski, Igor Pantiukhin, Vyacheslav Rzhevskiy |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 449-457 (2020) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 29631521 |
| DOI: | 10.23919/FRUCT48808.2020.9087391 |
| Popis: | The article describe a simulation of the drone designed to monitor a large area. Three scenarios are considered: detection of the fire source in the forest, detection of intruders in the forbidden territory and detection o their cars. Open source software is used for the simulation: robotic simulator Gazebo, framework for robotic applications Robot Operating System, communication protocol for small unmanned vehicles MAVLink and autopilot system PX4. Iris+ quadcopter is chosen as a prototype for the simulation, its mathematical model is presented as well as the vision model based on the PX4FLOW monocular camera and optical flow. Algorithms for detecting objects of interest are described. As a result, the successful tests of simulation are presented, in which the classification and localization accuracy is tested. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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