Affiliation:
1. University of Science and Technology of China
2. Chinese Academy of Sciences
Abstract
Frequency-modulated continuous-wave (FMCW) light detection and ranging (LIDAR), which offers high depth resolution and immunity to environmental disturbances, has emerged as a strong candidate technology for active imaging applications. In general, hundreds of photons per pixel are required for accurate three-dimensional (3D) imaging. When it comes to the low-flux regime, however, depth estimation has limited robustness. To cope with this, we propose and demonstrate a photon-efficient approach for FMCW LIDAR. We first construct a FMCW LIDAR setup based on single-photon detectors where only a weak local oscillator is needed for the coherent detection. Further, to realize photon-efficient imaging, our approach borrows the data from neighboring pixels to enhance depth estimates, and employs a total-variation seminorm to smooth out the noise on the recovered depth map. Both simulation and experiment results show that our approach can produce high-quality 3D images from ∼10 signal photons per pixel, increasing the photon efficiency by 10-fold over the traditional processing method. The high photon efficiency will be valuable for low-power and rapid FMCW applications.
Funder
National Natural Science Foundation of China
Shanghai Academic/Technology Research Leader
Shanghai Science and Technology Development Foundation
Shanghai Municipal Science and Technology Major Project
Special Project for Research and Development in Key areas of Guangdong Province
Subject
Atomic and Molecular Physics, and Optics
Cited by
7 articles.
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