An early warning system for curved road based on OV7670 image acquisition and STM32

Wang, Xiaoliang, Song, Wenhua, Zhang, Bowei, Mausler, Brandon and Jiang, Frank 2019, An early warning system for curved road based on OV7670 image acquisition and STM32, Computers, materials and continua, vol. 59, no. 1, pp. 135-147, doi: 10.32604/cmc.2019.05687.

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Title An early warning system for curved road based on OV7670 image acquisition and STM32
Author(s) Wang, Xiaoliang
Song, Wenhua
Zhang, Bowei
Mausler, Brandon
Jiang, Frank
Journal name Computers, materials and continua
Volume number 59
Issue number 1
Start page 135
End page 147
Total pages 13
Publisher Tech Science Press
Place of publication Duluth, Ga.
Publication date 2019
ISSN 1546-2218
Keyword(s) Science & Technology
Physical Sciences
Engineering, Multidisciplinary
Materials Science, Multidisciplinary
Mathematics, Interdisciplinary Applications
Materials Science
Curve traffic
turning meeting
early warning
image identification
vehicle detection
Summary Nowadays, the number of vehicles in China has increased significantly. The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need. However, the existing early warning devices such as geomagnetic, ultrasonic and infrared detection have some shortcomings like difficult installation and maintenance. In addition, geomagnetic detection will damage the road surface, while ultrasonic and infrared detection will be greatly affected by the environment. Considering the shortcomings of the existing solutions, this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and microcontrollers. This solution combines image acquisition and processing technology, which uses image sensor to perceive traffic condition and image data analysis algorithm to process perceived image, and then utilize LED display screen to issue an early warning.
Language eng
DOI 10.32604/cmc.2019.05687
Field of Research 0103 Numerical and Computational Mathematics
0912 Materials Engineering
0915 Interdisciplinary Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Tech Science Press
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