Abstract
The paper presents an object tracking algorithm implemented through an unmanned aerial vehicle (UAV). The system generates the trajectory taking into account the image obtained by the front camera of the drone, the object to be detected is a moving red box and using color segmentation techniques the object is detected. The red box is continuously tracked by centering the image frame. Open-source computer vision libraries (OpenCV) are used to process the images obtained from the drone. The software was verified by simulations with Gazebo and Rviz on the robot operating system (ROS) and compared with the real drone.
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González, H., Vera, A., Monsalve, J., Valle, D. (2023). Design of a Real-Time Obstacle Avoiding and Trajectory Generation Algorithm for an Unmanned Aerial Vehicle. In: Shakya, S., Du, KL., Ntalianis, K. (eds) Sentiment Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1432. Springer, Singapore. https://doi.org/10.1007/978-981-19-5443-6_38
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DOI: https://doi.org/10.1007/978-981-19-5443-6_38
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