Real-Time 3D Reconstruction Based on Single-Photon LiDAR for Underwater Environments

Yifei Chen

2023

Abstract

This paper compares three real-time 3D reconstruction methods based on single-photon LiDAR technology in underwater environments. Methods include the traditional cross-correlation method, the RT3D method combining highly scalable computational techniques from the computer graphics field with statistical models, and the ensemble method which combines surface detection and distance estimation are all explored. The target was placed around three meters away from the transceiver system, and both were submerged in a 1.8-meter-deep water tank as part of the experimental setup. The transceiver used a picosecond pulse laser source that emitted light at a frequency of 20 MHz with a center wavelength of 532 nm. The results indicate that in static scenarios, as the turbidity of the medium increases, the cross-correlation method exhibited the most significant increase in noise and loss of surface detail; the RT3D method showed less noise increase but more pronounced surface loss; the Ensemble Method overall performed the best. The cross-correlation approach was found to be much faster than the other two ways in dynamic scenes, with the Ensemble approach being marginally slower than the RT3D method, all three methods’ processing times reduced as the attenuation length rose. When the attenuation length exceeded 5.5AL, none of the methods could perform 3D reconstruction, but both RT3D and Ensemble Methods could still produce clusters of points.

Paper Citation

in Harvard Style

Chen Y. (2023). Real-Time 3D Reconstruction Based on Single-Photon LiDAR for Underwater Environments. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 184-191. DOI: 10.5220/0012816800003885

in Bibtex Style

@conference{daml23,
author={Yifei Chen},
title={Real-Time 3D Reconstruction Based on Single-Photon LiDAR for Underwater Environments},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={184-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012816800003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - Real-Time 3D Reconstruction Based on Single-Photon LiDAR for Underwater Environments
SN - 978-989-758-705-4
AU - Chen Y.
PY - 2023
SP - 184
EP - 191
DO - 10.5220/0012816800003885
PB - SciTePress