R
Rickard Karlsson
Researcher at Linköping University
Publications - 65
Citations - 3984
Rickard Karlsson is an academic researcher from Linköping University. The author has contributed to research in topics: Particle filter & Kalman filter. The author has an hindex of 26, co-authored 65 publications receiving 3726 citations. Previous affiliations of Rickard Karlsson include Swedish Defence Research Agency & Nira Dynamics AB.
Papers
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Journal ArticleDOI
Particle filters for positioning, navigation, and tracking
Fredrik Gustafsson,Fredrik Gunnarsson,Niclas Bergman,Urban Forssell,Jonas Jansson,Rickard Karlsson,Per-Johan Nordlund +6 more
TL;DR: The technique of map matching is used to match an aircraft's elevation profile to a digital elevation map and a car's horizontal driven path to a street map and it is shown that the accuracy is comparable with satellite navigation but with higher integrity.
Complexity Analysis of the Marginalized Particle Filter
TL;DR: The computational complexity of the marginalized particle filter is analyzed and a general method to perform this analysis is given, the key is the introduction of the equivalent flop measure.
Journal ArticleDOI
Complexity analysis of the marginalized particle filter
TL;DR: In this article, the computational complexity of the marginalized particle filter is analyzed and a general method to perform this analysis is given, the key is the introduction of the equivalent flop measure.
Proceedings ArticleDOI
Monte Carlo data association for multiple target tracking
TL;DR: The data association problem occurs in multiple target tracking applications and nonlinear and non-Gaussian estimation problems are solved approximately in an optimal way using recursive Monte C Monte Carlo methods.
Journal ArticleDOI
Track-before-detect algorithm for tracking extended targets
TL;DR: In this article, an extended target track-before-detect (TBD) algorithm is presented and the performance is compared to an algorithm based on the point target assumption, where a particle filter is used for the TBD implementation.