Video-rate voxel scanning LiDAR

We demonstrate an upconversion imaging technique that transduces near-infrared signals to visible photon counting with low loss and high efficiency. By using far-detuned, 10-ns pump pulses for upconversion, fast voxel scanning is achieved with sub-centimeter ranging resolution over a designated spatial interval of 1.5 meters that is defined and fast-shifted by an electronic delay line. Aided by superior noise suppression, 50×50×1000 voxels can be measured at a remarkable speed of 10 frames per second, making it suitable for fast LiDAR applications in high noise and photon-starved environments, including those for autonomous navigation and aerospace missions.

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Publication Details

Journal
Optics Continuum
Published
2024-11-26
DOI
https://doi.org/10.1364/optcon.538258
Primary Topic
Advanced Optical Sensing Technologies
Type
article
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article

Video-rate voxel scanning LiDAR

Yong Meng Sua, Jeevanandha Ramanathan, Malvika Garikapati, Yuping Huang
Optics Continuum
Advanced Optical Sensing Technologies
article

Video-rate voxel scanning LiDAR

Yong Meng Sua, Jeevanandha Ramanathan, Malvika Garikapati, Yuping Huang
article en

Abstract

We demonstrate an upconversion imaging technique that transduces near-infrared signals to visible photon counting with low loss and high efficiency. By using far-detuned, 10-ns pump pulses for upconversion, fast voxel scanning is achieved with sub-centimeter ranging resolution over a designated spatial interval of 1.5 meters that is defined and fast-shifted by an electronic delay line. Aided by superior noise suppression, 50×50×1000 voxels can be measured at a remarkable speed of 10 frames per second, making it suitable for fast LiDAR applications in high noise and photon-starved environments, including those for autonomous navigation and aerospace missions.

Optics ContinuumVol. 4(1)
Stevens Institute of Technology (US), Cambridge Quantum Computing (United Kingdom) (GB), Computing Center (RU)
Affordable and clean energy
Openalex Percentile: Top 83%
Advanced Optical Sensing Technologies
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