Review Compressive sensing for 3D-LiDAR imaging: A pipeline to increase resolution of simulated single-photon camera

In this paper, we present a more efficient strategy than existing solutions to enhance the lateral resolution of low photon 3D-LiDAR operating in Geiger mode. Our pipeline makes it possible to reconstruct 3D-images with an unprecedented lateral-resolution, simultaneously at low photon count and Hertz level framerates. It is applied on simulated GmAPD 3D-LiDAR signals. Signals acquired using these kind of sensors are unsuitable for direct applications of Compressive Sensing algorithms. Our contribution focuses on a more efficient strategy for waveform denoising and reconstruction. For each pixel, we reconstruct sub-pixels with a Compressive Sensing approach. After describing our method, we demonstrate its applicability on realistic simulated data.