[PDF] Top 20 Combined extended FIR/Kalman filtering for indoor robot localization via triangulation

... Referring to these drawbacks, several alternative ap- proaches have been developed in recent decades. The deterministic technique called the unscented transform was used in [21] to transfer the mean and variance through ... See full document

... Permanent repository link: http://openaccess.city.ac.uk/14374/ Link to published version: http://dx.doi.org/10.1016/j.measurement.2013.12.045 Copyright and reuse: City Research Online ai[r] ... See full document

... of extended unbiased FIR (EFIR) filtering of nonlinear discrete-time state-space models used in tracking and state ...the extended nonlinear state and observation ...the extended ... See full document

... Of course, the beverage stock pair (KO-PEP) chosen in this study is just a representa- tive for the purpose of numerical illustration. As the proposed method is data-independ- ent, it can be applied in general by a ... See full document

... the Kalman filter for attitude estimation. Kalman filter was the first applied algorithm for attitude estimation for the Apollo space program in ...of Kalman filter which work optimal for linear ... See full document

... E. Kalman presented his idea of Kalman Filtering in ...(MMSE). Kalman invented his filter based on modifying the Wiener-Kolmogorov filter, which was derived in ...analysis, Kalman ... See full document

... The Marching Cubes 33, proposed by Chernyaev [5] in 1995, is one of the first isosurface extraction algorithms intended to preserve the topology of the trilinear inter- polant. In his work, Chernyaev extends to 33 the ... See full document

... We started with analysing the available English dictionaries of subjective terms: General Inquirer (Stone et al., 1966), WordNet Affect (Strapparava and Valitutti, 2004), SentiWordNet (Esuli and Se- bastiani, 2006), ... See full document

... classic Kalman filtering equations for independent and correlated white noises are ordinary differential equations deterministic or stochastic with the respective initial ...between Kalman ... See full document

... for indoor multi-robot localization is ...each robot to work as a receiver and the other is arranged in a matrix and distributed uniformly in the environment to work as a ...any robot ... See full document

... fingerprinting localization, the improved K-means clustering algorithm was proposed to reduce the resource cost of the location algorithm and improve the system’s real-time performance without reducing the ... See full document

... The second phase runs concurrently at each node. Once each node has the coordinate of the location, it periodically interchanges the location information with one-hop neighbors, which are placed within its coverage. Now, ... See full document

... This section shows the discussion on another division of DKF with respect to MSDF systems. In Tables 7, 8 and 9, MSDF systems-based list of publications are classified respectively. The most recent of the publications ... See full document

... of Kalman filtering. This paper uses the CV model in discrete Kalman filtering to simulate the trace of moving target in 3-D ...to Kalman filtering are also ... See full document

... following indoor robot is one of the options for different types of robot ...of localization refers to the process of determining a robot position by using information from external ... See full document

... Extended Kalman filter (EKF) based solution is one of the most popular techniques for solving simultaneous localization and mapping (SLAM) ... See full document

... The fingerprint map, also showed fairly low distinction, especially in the hall area between Bedroom 1 and the bathroom. The percent error had to be calculated over 3 feet, because most of the readings were over even 4 ... See full document

... Bayesian filtering methodology to parameterize a quadratic ...ensemble Kalman filter (EnKF) to estimate parameters used in defining the CLF within the control loop of the inverse optimal control ... See full document

... an indoor mobile ...mobile robot for ...mobile robot localizes itself based on the IR LED signals it ...Monte-Carlo localization method with a belief function is utilized to estimate the ... See full document

... Solving the inverse optimal control problem for discrete- time nonlinear systems requires the construction of a stabiliz- ing feedback control law based on a control Lyapunov func- tion (CLF). However, there are few ... See full document