no code implementations • 6 Mar 2024 • Himanshu Prabhat, Raktim Bhattacharya
The goal is to determine an optimal map combining prior estimate with measurement likelihood such that posterior estimation error optimally reaches the Dirac delta distribution with minimal effort.
no code implementations • 5 Mar 2024 • Himanshu Prabhat, Raktim Bhattacharya
This paper proposes a novel convex optimization framework for designing robust Kalman filters that guarantee a user-specified steady-state error while maximizing process and sensor noise.
