Guided super-resolution of single-photon 3D LiDAR data: application to micro-scanning and 3D video upsampling

Abderrahim Halimi; Ewan Wade; Alice Ruget; Rachael Tobin; Aongus McCarthy; Philip J. Soan; Gerald S. Buller

doi:10.1117/12.3033820

16 November 2024 Guided super-resolution of single-photon 3D LiDAR data: application to micro-scanning and 3D video upsampling

Abderrahim Halimi, Ewan Wade, Alice Ruget, Rachael Tobin, Aongus McCarthy, Philip J. Soan, Gerald S. Buller

Author Affiliations +

Proceedings Volume PC13204, Emerging Imaging and Sensing Technologies for Security and Defence IX; PC1320405 (2024) https://doi.org/10.1117/12.3033820
Event: Security + Defence, 2024, Edinburgh, United Kingdom

Abstract

We present a statistical model for the multiscale super-resolution of complex 3D single-photon LiDAR scenes while providing uncertainty measures about the depth and reflectivity parameters. We then propose a generalization of this model by unrolling its iterations into a new deep learning architecture which requires a reduced number of trainable parameters, and provides rich information about the estimates including uncertainty measures. The proposed algorithms will be demonstrated on two specific applications: micro-scanning with a 32 × 32 time-of-flight detector array, and sensor fusion for high-resolution kilometer-range 3D imaging. Results show that the proposed algorithms significantly enhance the image quality.

Conference Presentation

Citation Download Citation

Abderrahim Halimi, Ewan Wade, Alice Ruget, Rachael Tobin, Aongus McCarthy, Philip J. Soan, and Gerald S. Buller "Guided super-resolution of single-photon 3D LiDAR data: application to micro-scanning and 3D video upsampling", Proc. SPIE PC13204, Emerging Imaging and Sensing Technologies for Security and Defence IX, PC1320405 (16 November 2024); https://doi.org/10.1117/12.3033820

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