Road blind area analysis technique based on image convolution processing signal

Binghui Li; Zehao Yin; Qihang Zhang; Guangyi Dong; Xiaofeng Chen; Yan Wang; Yuxuan Wang; Zhixiang Chen

doi:10.1117/12.2689917

7 September 2023 Road blind area analysis technique based on image convolution processing signal

Binghui Li, Zehao Yin, Qihang Zhang, Guangyi Dong, Xiaofeng Chen, Yan Wang, Yuxuan Wang, Zhixiang Chen

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127902B (2023) https://doi.org/10.1117/12.2689917
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

In recent years, with the continuous improvement of automobile manufacturing technology, road traffic pressure has gradually increased. According to relevant traffic accident statistics, there are approximately 500000 traffic accidents in China each year, of which about 30% are caused by road blind area, resulting in serious losses. Due to factors such as car structural design and human physiological structure, there is currently no suitable response methods for cars when facing blind area on the road. So developing a reliable blind area monitoring system for vehicles has become a research focus in the field of active vehicle safety. From the first perspective of automobiles, this article proposes a detection and warning device for blind area on the road in the driving map of automobiles. The main body of the device is installed inside the driver's cab and outside the vehicle. Through image acquisition and convolutional processing, data is analyzed. If dangerous situations are detected in the blind area ahead, the system will promptly provide graded warnings to the driver. This research in this article greatly expands the research on blind area on roads and traffic signal processing, which is of great significance for promoting road traffic safety and social order stability.

Citation Download Citation

Binghui Li, Zehao Yin, Qihang Zhang, Guangyi Dong, Xiaofeng Chen, Yan Wang, Yuxuan Wang, and Zhixiang Chen "Road blind area analysis technique based on image convolution processing signal", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127902B (7 September 2023); https://doi.org/10.1117/12.2689917

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KEYWORDS

Image processing

Roads

Signal processing

Convolution

Image analysis

Safety

Imaging systems

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