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Kalman filter

Known as: Kalman-Bucy filter, The Kalman Smoother, Stratonovich-Kalman-Bucy 
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
This paper deals with the advantages in thermal noise performance of vector-based GPS tracking algorithms over traditional… 
2008
2008
In this MTech thesis experiments will be tried out on a people counting system in an effort to enhance the accuracy when… 
2004
2004
In this paper, a method for real-time tracking of moving objects is proposed. We applied Kalman particle filter (KPF) to color… 
2003
2003
Application of first-order kinetics to model chlorine decay, using EPANET software on a real network, for calibration… 
1999
1999
A novel approach for vision sensing and vision-based proximity navigation of spacecraft is presented. We have recently invented a… 
1998
1998
Within the appliance motor control industry there is an increasing trend to move towards using brushless dc motors. This trend is… 
1998
1998
In this paper we present a robust real-time method for tracking multiple people from multiple cameras. Our method uses both… 
1997
1997
Most neural networks used today rely on rigid, fixed-architecture networks and/or slow, gradient descent-based training… 
1987
1987
HF molecules were optically aligned by use of linearly polarized infrared radiation generated by a color center laser tuned to… 
1986
1986
A floating-point error analysis of the Recursive LeastSquares (RLS) and Least-Mean-Squares (LMS) algorithms is presented. Both…