Research on evaluation method of automotive infrared night vision camera

Yue Hu; Hang Sun; Shiqi Zhang

doi:10.1117/12.2681290

8 June 2023 Research on evaluation method of automotive infrared night vision camera

Yue Hu, Hang Sun, Shiqi Zhang

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270723 (2023) https://doi.org/10.1117/12.2681290
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

At present, autonomous vehicles equipped with night vision systems have been widely used, which can provide drivers with visual aids and collision warning at night or in low light conditions, so as to reduce the probability of accidents. In this paper, the image quality evaluation indicators and test methods of automotive infrared night vision camera have been studied. According to the characteristics of infrared night vision camera, NETD, MRTD, MTF and identification distance have been proposed as the evaluation indicators, the test methods and procedures have been given. A prototype was selected for verification test. The experimental results were accurate, objective and reproducible, which could be used as the test and evaluation method for automotive infrared night vision camera.

Citation Download Citation

Yue Hu, Hang Sun, and Shiqi Zhang "Research on evaluation method of automotive infrared night vision camera", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270723 (8 June 2023); https://doi.org/10.1117/12.2681290

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