Object Detection by Tiny-YOLO on TurtleBot3 as an Educational Robot

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F23%3A00011235" target="_blank" >RIV/46747885:24220/23:00011235 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24620/23:00011235
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-981-99-2322-9_47" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-99-2322-9_47</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-99-2322-9_47" target="_blank" >10.1007/978-981-99-2322-9_47</a>

Result language
angličtina
Original language name
Object Detection by Tiny-YOLO on TurtleBot3 as an Educational Robot
Original language description
By the unceasing efforts of many scientists, machine learning algorithms are increasing quickly with an enhanced object detection performance for the explicit applications on specific devices. This paper investigates the operation of TurtleBot3 as an educational wheeled autonomous robot which Tiny-YOLO algorithm has been applied as a novel application on it. At first, the required knowledge about the kinematics and dynamics of a differential drive robot with constraints is studied, and a graph where the robot is working under some specific conditions is plotted. The robot operating system (ROS) and simultaneous localization and mapping (SLAM) of the TurtleBot3 have been explained. The robot is equipped with a LiDAR sensor and a camera embedded onto it as a sensor fusion SLAM for a more precise type of mapping. Finally, Tiny-YOLO as a machine learning algorithm for object detection is implemented based on the fact that Raspberry Pi could not handle the full YOLO due to its memory capacity limitation, and the results are discussed.
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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