Open AccessA real-time noise filtering strategy for photon counting 3D imaging lidar
Author(s) -
Zijing Zhang,
Yuan Zhao,
Yong Zhang,
Long Wu,
Jianzhong Su
Publication year - 2013
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.21.009247
Subject(s) - lidar , photon counting , noise (video) , optics , avalanche photodiode , filter (signal processing) , computer science , sensitivity (control systems) , background noise , physics , computer vision , remote sensing , photon , detector , image (mathematics) , telecommunications , electronic engineering , geology , engineering
For a direct-detection 3D imaging lidar, the use of Geiger mode avalanche photodiode (Gm-APD) could greatly enhance the detection sensitivity of the lidar system since each range measurement requires a single detected photon. Furthermore, Gm-APD offers significant advantages in reducing the size, mass, power and complexity of the system. However the inevitable noise, including the background noise, the dark count noise and so on, remains a significant challenge to obtain a clear 3D image of the target of interest. This paper presents a smart strategy, which can filter out false alarms in the stage of acquisition of raw time of flight (TOF) data and obtain a clear 3D image in real time. As a result, a clear 3D image is taken from the experimental system despite the background noise of the sunny day.