Machine learning-based prediction approach for ranging resolution enhancement of FMCW LiDAR system with LSTM networks-Reference-Cited by-同舟云学术

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Machine learning-based prediction approach for ranging resolution enhancement of FMCW LiDAR system with LSTM networks

Published:2024-12 Issue: Volume:179 Page:111299
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Lin Chenxiao^ORCID,Tan Yidong^ORCID,Wang Qingxuan^ORCID

Publisher

Elsevier BV

Reference28 articles.

1. Simultaneous time-varying vibration and nonlinearity compensation for one-period triangular-FMCW Lidar signal;Wang;Remote Sens.,2021

2. Aerosol tracking using lidar-based atmospheric profiling and Bayesian estimation;Mohamed;Opt. Laser Technol.,2020

3. LIDAR: Mapping the world in 3D;Schwarz;Nat. Photonics,2010

4. MEMS-based lidar for autonomous driving;Han;e & i,2018

5. Mitigation of crosstalk effects in multi-LiDAR configurations;Diehm;In Electro-Optical Remote Sensing,2018

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