Presentation + Paper
8 March 2023 Material recognition using time of flight Lidar surface analysis
Daniel Tafone, Luke McEvoy, Yong Meng Sua, Patrick Rehain, Yuping Huang
Author Affiliations +
Abstract
We are investigating a method for identifying materials from a distance, even when they are obscured, using a technique called Quantum Parametric Mode Sorting and single photons detection. By scanning a segment of the material, we are able to capture data on the relationships between the peak count of photons reflected at each position and the location of that reflection. This information allows us to measure the relative reflectance of the material and the texture of its surface, which enables us to achieve a material recognition accuracy of 99%, even maintaining 89.17% when materials are obscured by a lossy and multi-scattering obscurant that causes up to 15.2 round-trip optical depth.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Tafone, Luke McEvoy, Yong Meng Sua, Patrick Rehain, and Yuping Huang "Material recognition using time of flight Lidar surface analysis", Proc. SPIE 12447, Quantum Sensing, Imaging, and Precision Metrology, 1244708 (8 March 2023); https://doi.org/10.1117/12.2652945
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KEYWORDS
Surface roughness

Matrices

Photons

Education and training

LIDAR

Histograms

Pulse signals

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