Моделирование системы навигации с элементами компьютерного зрения и корреляционных алгоритмов А. Шахуд, Д. В. Шашев
Material type:
ArticleContent type: Текст Media type: электронный Other title: Simulation of a navigation system based on computer vision and correlation algorithms [Parallel title]Subject(s): навигационные системы | компьютерное зрение | взаимная корреляция | системы визуальной навигацииGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
Инноватика-2021 : сборник материалов XVII Международной школы-конференции студентов, аспирантов и молодых ученых, 22-23 апреля 2021 г., г. Томск, Россия С. 129-132Abstract: Navigation based on computer vision is a cheap method for drone’s position calculation. This paper presents an implementation and simulation of a navigation system based on extreme correlation. Simulation was done using ROS (Robot Operating System), Gazebo (3D dynamic simulator), a drone model and a 3D urban flight environment. Correlation between the captured image and the georeferenced image was done to calculate the drone’s position. Testes showed a position rms error less than 3m and 40ms execution time.
Библиогр.: 3 назв.
Navigation based on computer vision is a cheap method for drone’s position calculation. This paper presents an implementation and simulation of a navigation system based on extreme correlation. Simulation was done using ROS (Robot Operating System), Gazebo (3D dynamic simulator), a drone model and a 3D urban flight environment. Correlation between the captured image and the georeferenced image was done to calculate the drone’s position. Testes showed a position rms error less than 3m and 40ms execution time.
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