Abstract: The Kalman filter is a recursive algorithm that provides optimal state estimation of a linear system using its state-space model and noisy observations. Since real measurements carry both ...
Abstract: Single-photon lidar detection data in applications can show different characteristics: sparse count data and strong noise count data with low signal-to-background ratio (SBR), making it ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results