Abstract: Despite its stability and computational complexity advantages, the pseudolinear Kalman filter (PLKF) suffers from severe bias problems in bearings-only target tracking applications. This ...

As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the ...

Multi-target tracking algorithms and filters underpin a broad spectrum of modern sensing applications by providing robust methodologies to estimate the trajectories of multiple moving objects amid ...

Abstract: In the domain of maneuvering target tracking, traditional algorithms often rely on multiple predefined mathematical models to approximate target dynamics. However, the inherent randomness ...

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to ...

EnSilica, a leading independent provider of semiconductor solutions and IP, has launched a Kalman Filter acceleration IP core for use in situational awareness radar sensors for advanced driver ...

EnSilica has launched a Kalman Filter acceleration IP core for use in situational awareness radar sensors for advanced driver assistance systems (ADAS), such as electronic stability control systems, ...