Applications of visual navigation and intelligent recognition technology

Zhuang Jin; Zhao Zhuang; Bo Yuan

doi:10.1117/12.3055492

12 December 2024 Applications of visual navigation and intelligent recognition technology

Zhuang Jin, Zhao Zhuang, Bo Yuan

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134392P (2024) https://doi.org/10.1117/12.3055492
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

This paper presents the design and implementation of an intelligent car system based on Raspberry Pi CM4, focusing on the camera module in the intelligent car. The camera module incorporates functionalities such as camera calibration, visual line following, color tracking, facial recognition, and label recognition. Utilizing image acquisition and processing techniques, this module can accurately perform various visual tasks. The system utilizes hardware components including the Raspberry Pi CM4 core board, relevant expansion boards, and corresponding visual processing equipment. The software portion is developed based on the Raspberry Pi Linux operating system, establishing a development environment and control interface suitable for the camera module's functions. System demonstrations and tests validate the stability and reliability of the camera module in autonomous driving and visual recognition tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhuang Jin, Zhao Zhuang, and Bo Yuan "Applications of visual navigation and intelligent recognition technology", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134392P (12 December 2024); https://doi.org/10.1117/12.3055492

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