4 citations · 9 across the 14 of their papers we have counts for
7 papers · 1 filter
Utility and Privacy in Object Tracking from Video Stream using Kalman Filter
Niladri Das, Raktim Bhattacharya
Tracking objects in Computer Vision is a hard problem. Privacy and utility concerns adds an extra layer of complexity over this problem. In this work we consider the problem of mai…
Robust LQR for Uncertain Discrete-Time Systems using Polynomial Chaos
Vaishnav Tadiparthi, Raktim Bhattacharya
In this paper, a polynomial chaos based framework for designing controllers for discrete time linear systems with probabilistic parameters is presented. Conditions for exponential-…
Nonlinear Attitude Estimation for Small UAVs with Low Power Microprocessors
Sunsoo Kim, Vaishnav Tadiparthi, Raktim Bhattacharya
Among algorithms used for sensor fusion for attitude estimation in unmanned aerial vehicles, the Extended Kalman Filter (EKF) is the most commonly used for estimation. In this pape…
Optimal Transport Based Filtering with Nonlinear State Equality Constraints
Niladri Das, Raktim Bhattacharya
In this work we propose a framework to address the issue of state dependent nonlinear equality-constrained state estimation using Bayesian filtering. This framework is constructed…
Privacy and Utility Aware Data Sharing for Space Situational Awareness from Ensemble and Unscented Kalman Filtering Perspective
Niladri Das, Raktim Bhattacharya
In this paper, we present an optimization-based formulation for privacy-utility tradeoff in the Ensemble and Unscented Kalman filtering framework, with a focus on space situational…
On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations
Vedang M. Deshpande, Raktim Bhattacharya
Polynomial chaos expansion is a popular way to develop surrogate models for stochastic systems with arbitrary random variables. Standard techniques such as Galerkin projection, sto…