Real-time underwater target detection and 3D video reconstruction for single-photon LiDAR imaging

Sandor Plosz; Aurora Maccarone; Steve McLaughlin; Gerald S. Buller; Abderrahim Halimi

doi:10.1117/12.3033824

16 November 2024 Real-time underwater target detection and 3D video reconstruction for single-photon LiDAR imaging

Sandor Plosz, Aurora Maccarone, Steve McLaughlin, Gerald S. Buller, Abderrahim Halimi

Author Affiliations +

Proceedings Volume PC13204, Emerging Imaging and Sensing Technologies for Security and Defence IX; PC1320406 (2024) https://doi.org/10.1117/12.3033824
Event: Security + Defence, 2024, Edinburgh, United Kingdom

Abstract

This paper presents a statistical approach for real-time 3D image reconstruction and target detection in challenging environments. The initial step analyzes photon events to detect targets, hence selecting informative pixels for data compression. The second contribution is a reconstruction algorithm that leverages data statistics and multiscale information to produce refined depth and reflectivity images, accompanied by uncertainty maps. The algorithms are implemented to run in parallel on GPUs, facilitating the real-time processing of moving scenes with over 50 depth frames-per-second for 192×128 pixel images. Results on real underwater data show the benefit of these algorithms when compared to existing ones.

Conference Presentation

Citation Download Citation

Sandor Plosz, Aurora Maccarone, Steve McLaughlin, Gerald S. Buller, and Abderrahim Halimi "Real-time underwater target detection and 3D video reconstruction for single-photon LiDAR imaging", Proc. SPIE PC13204, Emerging Imaging and Sensing Technologies for Security and Defence IX, PC1320406 (16 November 2024); https://doi.org/10.1117/12.3033824

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