4 citations · 4 across the 3 of their papers we have counts for
7 papers
Modeling and Optimal Control of Hybrid UAVs with Wind Disturbance
Sunsoo Kim, Niladri Das, Raktim Bhattacharya
This paper addresses modeling and control of a six-degree-of-freedom unmanned aerial vehicle capable of vertical take-off and landing in the presence of wind disturbances. We desig…
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…
Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection
Vinicius G. Goecks, Grayson Woods, John Valasek
Advances in machine learning and deep neural networks for object detection, coupled with lower cost and power requirements of cameras, led to promising vision-based solutions for s…
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…
Optimal Sensing Precision in Ensemble and Unscented Kalman Filtering
Niladri Das, Raktim Bhattacharya
We consider the problem of selecting an optimal set of sensor precisions to estimate the states of a non-linear dynamical system using an Ensemble Kalman filter and an Unscented Ka…
Eigen Value Analysis in Lower Bounding Uncertainty of Kalman Filter Estimates
Niladri Das, Raktim Bhattacharya
In this paper we are concerned with the error-covariance lower-bounding problem in Kalman filtering: a sensor releases a set of measurements to the data fusion/estimation center, w…