A vision-based autonomous vehicle tracking robot platform

Yau Hee Kho, Aminath Elaf Abdulla, Jessica Chan Zhai Yan

2014

Closed access Metadata (CSL-JSON)
DOI 10.1109/isiea.2014.8049893
Data confidence 70 medium
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Abstract

A vision-based autonomous vehicle tracking robot platform has been designed and developed where a video camera mounted in front and on top of the robot is used to capture the environment to provide real-time monitoring and tracking. The image processing is done in MATLAB where the output decision is used to guide the robot's navigation. A differential drive mechanism implemented using two DC motors controlled by a Basic Stamp microcontroller is used. In the field test, the robot has been designed to follow a leading vehicle by tracking a green-colour square placed behind that vehicle. The robot moves forward, reverses, turns left or right autonomously based on the images captured through the camera.