Research on GM-APD lidar intense information correction technology based on target distance

Chao Xin; Wei Lu; Peng Jiang; Jianfeng Sun; Xin Zhou; Hailong Zhang; Qi Wang

doi:10.1117/12.2605300

24 November 2021 Research on GM-APD lidar intense information correction technology based on target distance

Chao Xin, Wei Lu, Peng Jiang, Jianfeng Sun, Xin Zhou, Hailong Zhang, Qi Wang

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 1206515 (2021) https://doi.org/10.1117/12.2605300
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

LiDAR echo intensity information can reflect the reflection characteristics of the target surface, and can be used as an important data source in the aspects of LiDAR point cloud image vision, classification and feature extraction. Geiger mode avalanche photodiode (Gm-APD) has the ability of single photon detection and high range sensitivity, and is widely used in the field of lidar. The number of statistics is often taken as the target intensity information obtained. In order to make the intensity image accurately reflect the reflection characteristics of the target surface, a kind of intensity information correction method of Gm-APD lidar is proposed. By eliminating the distortion caused by the detection model and target distance of the detector, the average reflectivity estimation error can be increased from 51.97% to 8.86%. Aiming at Gm-APD lidar, the determination method of parameters in parameter estimation method is systematically described in this paper. On this basis, the calibration of the laser emitter can improve the uniformity of the target, and the standard deviation is increased from 1.1818 to 0.0050. The proposed scheme can provide a reliable data source for target recognition, classification and feature extraction based on Gm-APD intensity image.

Citation Download Citation

Chao Xin, Wei Lu, Peng Jiang, Jianfeng Sun, Xin Zhou, Hailong Zhang, and Qi Wang "Research on GM-APD lidar intense information correction technology based on target distance", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 1206515 (24 November 2021); https://doi.org/10.1117/12.2605300

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KEYWORDS

LIDAR

Reflectivity

Gaussian beams

Sensors

Distortion

Clouds

Data modeling

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