Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Automatic Vehicle Tracking System Based on Inductance Sensor

Authors
Lijian Cai, Yecai Guo, Xiang Wang
Corresponding Author
Lijian Cai
Available Online April 2017.
DOI
10.2991/emim-17.2017.78How to use a DOI?
Keywords
STM32; Intelligent vehicle; Inductive sensor; Variable pulse signals
Abstract

Automatic vehicle tracking system based on inductance sensor was designed. This system uses inductive sensor for data acquisition controlled by STM32 microcontroller. The vehicle is made up of L298N motor drive module, geared motor module, buzzer sound module, LCD module, encoder module, bluetooth module, and battery module, and in order to change direction and speed by DC motor, its four-wheel drive vehicle can output variable pulse signals. Microcontroller continually scans four-channel data of LDC1614 and controls vehicle to complete tracing action. If an obstacle is detected by it, the buzzer module will make a sound prompts. The precise timing can be obtained by the timer module, and the encoder module is designed to measure the speed of the vehicle. The designed system can implement the function of real-time display of time and distances, and has high precision and low power consumption.

Copyright
© 2017, 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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
10.2991/emim-17.2017.78
ISSN
2352-538X
DOI
10.2991/emim-17.2017.78How to use a DOI?
Copyright
© 2017, 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  - Lijian Cai
AU  - Yecai Guo
AU  - Xiang Wang
PY  - 2017/04
DA  - 2017/04
TI  - Automatic Vehicle Tracking System Based on Inductance Sensor
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 384
EP  - 388
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.78
DO  - 10.2991/emim-17.2017.78
ID  - Cai2017/04
ER  -