A vision-based autonomous vehicle tracking robot platform

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-176
Number of pages4
ISBN (Electronic)9781479955909
DOIs
Publication statusPublished - Sep 25 2017
Event2014 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2014 - Kota Kinabalu, Sabah, Malaysia
Duration: Sep 28 2014Oct 1 2014

Conference

Conference2014 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2014
CountryMalaysia
CityKota Kinabalu, Sabah
Period9/28/1410/1/14

Fingerprint

Vehicle Tracking
Autonomous Vehicles
Robot
Robots
Camera
Robot Navigation
DC Motor
Microcontroller
DC motors
MATLAB
Reverse
Video cameras
Image Processing
Microcontrollers
Monitoring
Real-time
Navigation
Image processing
Cameras
Vision

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

Kho, Y. H., Abdulla, A. E., & Yan, J. C. Z. (2017). A vision-based autonomous vehicle tracking robot platform. In ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications (pp. 173-176). [8049893] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIEA.2014.8049893

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 proceedingConference contribution

Kho, YH, Abdulla, AE & Yan, JCZ 2017, A vision-based autonomous vehicle tracking robot platform. in ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications., 8049893, Institute of Electrical and Electronics Engineers Inc., pp. 173-176, 2014 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2014, Kota Kinabalu, Sabah, Malaysia, 9/28/14. https://doi.org/10.1109/ISIEA.2014.8049893
Kho YH, Abdulla AE, Yan JCZ. A vision-based autonomous vehicle tracking robot platform. In ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications. Institute of Electrical and Electronics Engineers Inc. 2017. p. 173-176. 8049893 https://doi.org/10.1109/ISIEA.2014.8049893
Kho, Yau Hee ; Abdulla, Aminath Elaf ; Yan, Jessica Chan Zhai. / A vision-based autonomous vehicle tracking robot platform. ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 173-176
@inproceedings{960844b7a4104a8fbd83cd45dc5dd03a,
title = "A vision-based autonomous vehicle tracking robot platform",
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.",
keywords = "autonomous navigation, image processing, robotics, vehicle tracking",
author = "Kho, {Yau Hee} and Abdulla, {Aminath Elaf} and Yan, {Jessica Chan Zhai}",
year = "2017",
month = "9",
day = "25",
doi = "10.1109/ISIEA.2014.8049893",
language = "English",
pages = "173--176",
booktitle = "ISIEA 2014 - 2014 IEEE Symposium on Industrial Electronics and Applications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

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

UR - http://www.scopus.com/inward/record.url?scp=85032830906&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85032830906&partnerID=8YFLogxK

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 -