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Joshua Rapp

7 accepted papers

2025

Free-running vs Synchronous: Single-Photon Lidar for High-flux 3D Imaging

ICCV 2025poster

Conventional wisdom suggests that single-photon lidar (SPL) should operate in low-light conditions to minimize dead-time effects.Many methods have been developed to mitigate these effects in synchronous SPL systems. However, solutions for free-running SPL remain limited despite the advantage of redu…

Cited by 0SourcePDFScholar
2025

Indoor Airflow Imaging Using Physics-Informed Schlieren Tomography

ICASSP 2025accepted

Remote temperature sensing of volumetric flows has a variety of applications, such as promoting thermal comfort, heat dissipation, or data center cooling. The emergence of background-oriented schlieren (BOS) imaging in recent years has enabled transparent flow visualization at minor costs. In this p…

Cited by 0SourceScholar
2024

Single-Pixel Imaging Of Dynamic Flows Using Neural Ode Regularization

ICASSP 2024accepted

Single-pixel imaging is an efficient image acquisition process where light from a target scene is passed through a spatial light modulator and then projected onto a single photodiode with a high temporal acquisition rate. The scene reconstruction is achieved using computational methods that leverage…

Cited by 0SourceScholar
2024

Tracking Beyond the Unambiguous Range with Modulo Single-Photon Lidar

ICASSP 2024accepted

In single photon lidar (SPL), the laser repetition rate sets the maximum distance that can be recovered unambiguously. Conventional SPL extends this maximum recordable depth by reducing the repetition rate; however, the slower acquisition speed limits the number of received photons, which may be ins…

Cited by 0SourceScholar
2023

Phase Unwrapping in Correlated Noise for FMCW Lidar Depth Estimation

ICASSP 2023accepted

In frequency-modulated continuous-wave (FMCW) lidar, the distance to an illuminated target is proportional to the beat frequency of the interference signal. Laser phase noise often limits the range accuracy of FMCW lidar, and existing frequency estimation methods make overly simplistic assumptions a…

Cited by 0SourceScholar