Paper
10 November 2022 Research on visual driving safety field under single visual sensor
Linghan Yao, Caiyi Xu, Xingmei Yang, Yonghong Chen, Jianping Xing
Author Affiliations +
Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123482W (2022) https://doi.org/10.1117/12.2641318
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China
Abstract
In recent years, automobile intelligence and automatic driving technology has become the development trend of the automobile industry. Lane detection and lane segmentation are important parts of automatic driving technology. Unconscious lane departure on the expressway is likely to lead to serious traffic accidents. In this paper, a method for simultaneous lane detection and pixel segmentation is designed to solve the problem of lane detection and lane segmentation of lanes on expressways. The binary detection of lanes and the segmentation results of lane pixels are combined to determine the clear lane boundary. Finally, the discontinuous part is fitted into continuous lane lines, and the obstacles in different lanes are classified by lane lines.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linghan Yao, Caiyi Xu, Xingmei Yang, Yonghong Chen, and Jianping Xing "Research on visual driving safety field under single visual sensor", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123482W (10 November 2022); https://doi.org/10.1117/12.2641318
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KEYWORDS
Visualization

Image segmentation

Binary data

Sensors

Image processing

Safety

Target detection

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