An autoencoder maps LiDAR flux functions to dead-time-distorted registration PDFs, accelerating high-flux single-photon LiDAR simulation by orders of magnitude while matching conventional simulation histograms.
We design a new model for the registration count and learn a neural map- ping from environmental parameters to the registration PDF
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Ultrafast High-Flux Single-Photon LiDAR Simulator via Neural Mapping
An autoencoder maps LiDAR flux functions to dead-time-distorted registration PDFs, accelerating high-flux single-photon LiDAR simulation by orders of magnitude while matching conventional simulation histograms.