A Novel CNN-Based Nonlinearity Correction Method for FMCW LiDAR

A novel CNN-based nonlinearity correction method for the FMCW LiDAR system is presented, which is data efficient and model-free. Effectiveness is experimentally validated through a 97.6% RMS reduction, decreasing from 215.65 GHz to 5.16 GHz.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109357
Primary Topic
Advanced Optical Sensing Technologies
Type
article
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article

A Novel CNN-Based Nonlinearity Correction Method for FMCW LiDAR

Hao Yi, Qian Li, Hong Ye, Qingyang Zhu et al.
Advanced Optical Sensing Technologies
article

A Novel CNN-Based Nonlinearity Correction Method for FMCW LiDAR

Hao Yi, Qian Li, Hong Ye, Qingyang Zhu, H. Y. Fu
article en

Abstract

A novel CNN-based nonlinearity correction method for the FMCW LiDAR system is presented, which is data efficient and model-free. Effectiveness is experimentally validated through a 97.6% RMS reduction, decreasing from 215.65 GHz to 5.16 GHz.

Peking University (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Tsinghua University (CN)
Openalex Percentile: Top 79%
Advanced Optical Sensing Technologies
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