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.
Original language | English |
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Title of host publication | ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 173-176 |
Number of pages | 4 |
ISBN (Electronic) | 9781479955909 |
DOIs | |
Publication status | Published - Sep 25 2017 |
Event | 2014 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2014 - Kota Kinabalu, Sabah, Malaysia Duration: Sep 28 2014 → Oct 1 2014 |
Conference
Conference | 2014 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2014 |
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Country | Malaysia |
City | Kota Kinabalu, Sabah |
Period | 9/28/14 → 10/1/14 |
Keywords
- autonomous navigation
- image processing
- robotics
- vehicle tracking
ASJC Scopus subject areas
- Control and Optimization
- Artificial Intelligence
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering