Intelligent robot navigation has gained numerous attentions from the space, transportation, and industrial areas. It is a vital part in making the robot moves autonomously in various static and dynamic conditions. In robot navigation, a camera becomes the main sensor of the sensing of the environment. Any inputs that come across the camera (the eyes of the robot) will then be sent to the image processing system with an algorithm that can decide the navigation of the robot. The real-time image processing for this project is using OpenCV with C++. The controller for the navigation is using Arduino. This study is divided into two sections which are vision image processing and robot navigation control. In this paper, only the vision image processing section are discussed.
Sensing and Control of Autonomous Driverless Car on Road (SCAD)
Lect. Notes Electrical Eng.
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications ; Kapitel : 76 ; 494-500
2022-02-11
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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