| 1. |
- Bshara, Mussa, et al.
(författare)
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Tracking in WiMAX Networks Depending on SCORE Measurements
- 2009
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Ingår i: Proceedings of the 6th Workshop on Positioning, Navigation and Communication. - 9781424432936 - 9781424432929 ; , s. 229-234
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Konferensbidrag (refereegranskat)abstract
- Tracking in WiMax networks is gaining a lot of interest; especially after the mobile WiMax became one of the emerging technologies that promote low-cost deployment and evolving to provide IP-based services of high mobility including providing location-based services (LBS). Therefore, locating users in a cheap way thatdepend on the available network resources is becoming more and more interesting and an active topic for researchers. In this paper we consider the problem of tracking in WiMAX networks depending on SCOREobservations. The provided examples show that with efficient measurement data processing and with the help of already available data (street maps), plausible results can be achieved.
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| 2. |
- Grönwall, Christina, 1968-, et al.
(författare)
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3D Content-Based Model Matching using Geometric Features
- 2006
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- We present an approach that utilizes efficient geometric feature extraction and a matching method that takes articulation into account. It is primarily applicable for man-made objects. First the object is analyzed to extract geometric features, dimensions and rotation are estimated and typical parts, so-called functional parts, are identified. Examples of functional parts are a box's lid, a building's chimney, or a battle tank's barrel. We assume a model library with full annotation. The geometric features are matched with the model descriptors, to gain fast and early rejection of non-relevant models. After this pruning the objectis matched with relevant, usually few, library models. We propose a sequential matching, where the number of functional parts increases in each iteration. The division into parts increases the possibility for correct matching result when several similar models are available. The approach is exemplifi…ed with an vehicle recognition application, where some vehicles have functional parts.
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| 3. |
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| 4. |
- Gustafsson, Marie, 1980, et al.
(författare)
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Enabling an Online Community for Sharing Oral Medicine Cases Using Semantic Web Technologies
- 2006
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Ingår i: Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783540490296 - 3540490299 - 9783540490555 ; 4237:2, s. 820-832
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Tidskriftsartikel (refereegranskat)abstract
- This paper describes how Semantic Web technologies have been used in an online community for knowledge sharing between clinicians in oral medicine in Sweden. The main purpose of this community is to serve as repository of interesting and difficult cases, and as a support for monthly teleconferences. All information regarding users, meetings, news, and cases is stored in RDF. The community was built using the Struts framework and Jena was used for interacting with RDF.
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| 5. |
- Hol, Jeroen, 1981-, et al.
(författare)
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Resampling in Particle Filters
- 2006
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Ingår i: Nonlinear Statistical Signal Processing Workshop,2006. - Cambridge, United Kingdom : IEEE.
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Konferensbidrag (refereegranskat)
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| 6. |
- Nordlund, Per-Johan, 1971-, et al.
(författare)
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Marginalized Particle Filter for Accurate and Reliable Terrain-Aided Navigation
- 2009
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Ingår i: IEEE Transactions on Aerospace and Electronic Systems. - 0018-9251 .- 1557-9603. ; 45:4, s. 1385-1399
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Tidskriftsartikel (refereegranskat)abstract
- This paper details an approach to the integration of INS (Inertial Navigation System) and TAP (Terrain-Aided Positioning). The solution is characterized by a joint design of INS and TAP, meaning that the highly nonlinear TAP is not designed separately but jointly with the INS using one and the same filter. The applied filter extends the theory of the MPF (Marginalized Particle Filter) given by [1]. The key idea with MPF is to estimate the nonlinear part using the particle filter and the part which is linear, conditionally upon the nonlinear part, is estimated using the Kalman filter. The extension lies in the possibility to deal with a third multi-modal part, where the discrete mode variable is also estimated jointly with the linear and nonlinear parts. Conditionally upon the mode and the nonlinear part, the resulting subsystem is linear and estimated using the Kalman filter. Given the nonlinear motion equations which the INS uses to compute navigation data, the INS equations must be linearized for the MPF to work. A set of linearized equations is derived and the linearization errors are shown to be insignificant with respect to the final result. Simulations are performed and the result indicates near-optimal accuracy when compared to the Cramer-Rao lower bound.
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| 7. |
- Orguner, Umut, 1977-, et al.
(författare)
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Risk Sensitive Particle Filters for Mitigating Sample Impoverishment
- 2007
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Ingår i: Proceedings of the 14th IEEE/SP Workshop on Statistical Signal Processing. - 9781424411986 ; , s. 259-263
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Konferensbidrag (refereegranskat)abstract
- Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the mean square error. The result is a more cautious filter, which can be interpreted as an implicit and automatic way to increase the state noise covariance. On the other hand, the process of jittering, or roughening, is well-known in particle filters to mitigate sample impoverishment. The purpose of this contribution is to introduce risk-sensitive particle filters (RSPF) as an alternative approach to mitigate sample impoverishment based on constructing explicit risk functions from a general class of factorizable functions.
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