Browsing by Subject "Kalman filter"
Now showing items 1-11 of 11
-
(2012-02-14)Parametric uncertainty is one of many possible causes of divergence for the Kalman filter. Frequently, state estimation errors caused by imperfect model parameters are reduced by including the uncertain parameters as states ...
-
(2017-04-27)The turn of 21st century has witnessed an evolving trend in wearable devices research and improvements in human-computer interfaces. In such systems, position information of human hands in 3-D space has become extremely ...
-
(2019-06-28)Networked embedded systems are valuable tools for guidance and navigation, with applications ranging from UAV swarms to self-driving cars. LASR Lab is working on projects that require networked embedded systems running ...
-
(2020-06-09)A Schmidt filter is a modification of the Kalman filter that allows to append system parameters as states and considers their uncertainty effect in the filtering process without attempting to estimate such parameters. The ...
-
(2009-05-15)Forecasting is a critical component of project management. Project managers must be able to make reliable predictions about the final duration and cost of projects starting from project inception. Such predictions need to ...
-
(2014-09-05)Two main topics of offshore technologies, hydroelasticity and dynamic positioning system, are investigated in the present research. For the larger dimension of offshore structures in harsher operating environments, ...
-
(2020-04-13)This study introduces an approach for and the challenges in employing unmanned aerial vehicles (UAVs) for material handling in the emerging industrial custom manufacturing environments. Compared with conventional industrial ...
-
(2020-01-29)In hydraulic fracturing, the proppant-filled fracture length at the end of pumping strongly influences the fluid conductivity of natural oil and gas. Therefore, it is very important to regulate proppant bank height and ...
-
(2020-03-19)The Digital Twin (DT) is cited as one of the key concepts associated with Industry 4.0 waves. In fact, the concept of DT is not new and has lasted for over 10 years. In recent years, the clarity of improved technologies ...
-
A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter (2017-08-04)The main techniques of computer vision that can be helpful to surveillance system are detection and tracking. This thesis proposes a real-time motion detection and tracking system based on a single camera as a cost-effective ...
-
(2022-07-25)Development of truly predictive models for plasma physics phenomena continues to pose a significant challenge to the research community. Recent interest in data-driven modeling and data assimilation have arisen in the ...