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 |
|---|---|
| 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 |
|---|---|
| Country | Malaysia |
| City | Kota Kinabalu, Sabah |
| Period | 9/28/14 → 10/1/14 |
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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
Cite this
A vision-based autonomous vehicle tracking robot platform. / Kho, Yau Hee; Abdulla, Aminath Elaf; Yan, Jessica Chan Zhai.
ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications. Institute of Electrical and Electronics Engineers Inc., 2017. p. 173-176 8049893.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - A vision-based autonomous vehicle tracking robot platform
AU - Kho, Yau Hee
AU - Abdulla, Aminath Elaf
AU - Yan, Jessica Chan Zhai
PY - 2017/9/25
Y1 - 2017/9/25
N2 - 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.
AB - 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.
KW - autonomous navigation
KW - image processing
KW - robotics
KW - vehicle tracking
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U2 - 10.1109/ISIEA.2014.8049893
DO - 10.1109/ISIEA.2014.8049893
M3 - Conference contribution
SP - 173
EP - 176
BT - ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications
PB - Institute of Electrical and Electronics Engineers Inc.
ER -