Fast LiDAR imaging of sparse targets with compressive Hadamard samples

Abstract

An efficient adaptive sensing technique for LiDAR imaging of sparse targets with a Hadamard sensing matrix is introduced. A fast, real-time reconstruction is performed by a convolutional neural network.