Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Intelligent trajectory tracking vehicle based on image sensors

Authors
Maoyue Li, Jiabin Sun, Lijun Song, Yue Chen, Heng Sun
Corresponding Author
Maoyue Li
Available Online May 2016.
DOI
10.2991/wartia-16.2016.344How to use a DOI?
Keywords
Intelligent vehicle, camera, Bluetooth module, trajectory tracking
Abstract

In this paper, an intelligent trajectory tracking car is designed and an intelligent control system based on Freescale K60 is proposed. CMOS camera Ov7725 is used as the main sensor, and the Bluetooth module is used to implement the communication between the front car and the rear car in real time. The experimental front car is equipped with Bluetooth signal transmitter, which could send its steering and velocity information to the rear one, and then the rear car will use its own camera collecting midline location and distance information of the car in front through camera binaryzation and process received Bluetooth signal with corresponding reaction, so as to achieve the purpose of trajectory tracking.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.344
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.344How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Maoyue Li
AU  - Jiabin Sun
AU  - Lijun Song
AU  - Yue Chen
AU  - Heng Sun
PY  - 2016/05
DA  - 2016/05
TI  - Intelligent trajectory tracking vehicle based on image sensors
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1736
EP  - 1740
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.344
DO  - 10.2991/wartia-16.2016.344
ID  - Li2016/05
ER  -