Feasibility analysis of ultra-wide FOV infrared imaging system applied in vehicle auxiliary driving

Yichao Chen; Fuyu Huang; Bingqi Liu; Ziang Wang; Shuai Zhang; Hui Zhong

doi:10.1117/12.2564386

17 April 2020 Feasibility analysis of ultra-wide FOV infrared imaging system applied in vehicle auxiliary driving

Yichao Chen, Fuyu Huang, Bingqi Liu, Ziang Wang, Shuai Zhang, Hui Zhong

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145533 (2020) https://doi.org/10.1117/12.2564386
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

In order to overcome the shortcomings of traditional vision methods in the field of vehicle driving assistance, include visible light imaging system is vulnerable to the influence of illumination conditions and small field of view (FOV) imaging system has a large blind area, this paper proposed an environmental perception method based on ultra-wide FOV infrared imaging system. However, due to the compression of the Ultra-wide FOV infrared lens, the target occupies fewer pixels, and the detection distance is greatly limited. Therefore, this paper studies the feasibility of the application of Ultra-wide FOV infrared imaging system in the vehicle auxiliary driving system from the road objectives imaging size. Firstly, the general model of fisheye camera is used to build the imaging model of the Ultra-wide FOV infrared camera. Then, the vehicle driving safety distance and pedestrian imaging size characteristics are analyzed. Then the pedestrian detection distance of the Ultra-wide FOV infrared imaging system is simulated theoretically. Finally, a set of Ultra-wide FOV imaging system, which the FOV is 143° × 106° FOV and the detector resolution is 800 × 600, is used to carry out the experiment. The experiment shows that the pedestrian detection distance of the system proposed in this paper is more than 100 m, which can meet the needs of assistant driving at medium and low speeds.

Citation Download Citation

Yichao Chen, Fuyu Huang, Bingqi Liu, Ziang Wang, Shuai Zhang, and Hui Zhong "Feasibility analysis of ultra-wide FOV infrared imaging system applied in vehicle auxiliary driving", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145533 (17 April 2020); https://doi.org/10.1117/12.2564386

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