SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Forssell Johan) ;pers:(Gustafsson Fredrik)"

Sökning: WFRF:(Forssell Johan) > Gustafsson Fredrik

  • Resultat 1-2 av 2
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Gustafsson, Fredrik, et al. (författare)
  • Particle Filters for Positioning, Navigation and Tracking
  • 2001
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • A framework for positioning, navigation and tracking problems using particle filters (sequential Monte Carlo methods) is developed. It consists of a class of motion models and a general non-linear measurement equation in position. A general algorithm is presented, which is parsimonious with the particle dimension. It is based on marginalization, enabling a Kalman filter to estimate all position derivatives, and the particle filter becomes low-dimensional. This is of utmost importance for high-performance real-time applications. Automotive and airborne applications illustrate numerically the advantage over classical Kalman filter based algorithms. Here the use of non-linear models and non-Gaussian noise is the main explanation for the improvement in accuracy. More specifically, we describe how 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. In both cases, real-time implementations are available, and tests have shown that the accuracy in both cases is comparable to satellite navigation (as GPS), but with higher integrity. Based on simulations, we also argue how the particle filter can be used for positioning based on cellular phone measurements, for integrated navigation in aircraft, and for target tracking in aircraft and cars. Finally, the particle filter enables a promising solution to the combined task of navigation and tracking, with possible application to airborne hunting and collision avoidance systems in cars.
  •  
2.
  • Nordlund, Per-Johan, et al. (författare)
  • A Framework for Particle Filtering for Positioning, Navigation and Tracking
  • 2001
  • Ingår i: Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing. - : IEEE. - 0780370112 ; , s. 34-37
  • Konferensbidrag (refereegranskat)abstract
    • A framework for positioning, navigation and tracking problems using particle filters (recursive Monte Carlo methods) is developed. Automotive and airborne applications, approached in this framework, have proven a numerical advantage over classical Kalman filter based algorithms. Here the use of non-linear measurement models and non-Gaussian measurement noise is the main explanation for the improvement in accuracy, and models for relevant sensors are surveyed.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-2 av 2
Typ av publikation
rapport (1)
konferensbidrag (1)
Typ av innehåll
övrigt vetenskapligt/konstnärligt (1)
refereegranskat (1)
Författare/redaktör
Jansson, Jonas (2)
Bergman, Niclas (2)
Gunnarsson, Fredrik (2)
Nordlund, Per-Johan (2)
Forssell, Urban (2)
visa fler...
Karlsson, Rickard, 1 ... (1)
Karlsson, Rickard (1)
visa färre...
Lärosäte
Linköpings universitet (2)
Språk
Engelska (2)
Forskningsämne (UKÄ/SCB)
Teknik (2)
År

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy