Evaluation of the detection ability of a multi-sensor system under weak light

Zhengxing Qiu; Yingce Wang; Changyu Shen; Xiangliang Liu; Yangting Fu; Yingwei He; Haiyong Gan

doi:10.1117/12.2625187

27 March 2022 Evaluation of the detection ability of a multi-sensor system under weak light

Zhengxing Qiu, Yingce Wang, Changyu Shen, Xiangliang Liu, Yangting Fu, Yingwei He, Haiyong Gan

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121698U (2022) https://doi.org/10.1117/12.2625187
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Target detection plays an important role in the field of autonomous driving. During the driving of the vehicle, the detection system is susceptible to the low illumination of the road at night, resulting in the inability to detect the target. Therefore, night detection becomes a difficult problem in target detection. With the continuous development of sensor types and related algorithms used in night detection systems, how to evaluate the detection capabilities of night detection systems has become an urgent problem to be solved. To solve this problem, an evaluation method for evaluating multi-sensor target detection systems is proposed. It is used to evaluate the target detection ability of the target detection system in the night road environment. This method uses the response characteristics of lidar, depth camera, and RGB camera to the surrounding environment, takes the surface illuminance and BRDF of the target as input variables, and uses the minimum distance classification method to realize the lateral evaluation and comparison of different sensors. And it is obtained that the BRDF limit of the detected samples is 0.057127 sr^-1 under the 0.51lx illumination and the BRDF difference limit of the distinguished samples is 0.01953 sr^-1 under the 0.98lx illumination of the RGB camera. Finally, the effectiveness of the evaluation method is proved by the test of the response signal of a single sensor.

Citation Download Citation

Zhengxing Qiu, Yingce Wang, Changyu Shen, Xiangliang Liu, Yangting Fu, Yingwei He, and Haiyong Gan "Evaluation of the detection ability of a multi-sensor system under weak light", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121698U (27 March 2022); https://doi.org/10.1117/12.2625187

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KEYWORDS

Sensors

Cameras

Target detection

LIDAR

Target recognition

Clouds

Signal detection

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