State vector estimation using a constraint derived from a map

Tommi Perälä; Simo Ali-Löytty

State vector estimation using a constraint derived from a map

Tommi Perälä (Inventor), Simo Ali-Löytty (Inventor)

Research output: Patent

Abstract

It is disclosed to estimate a state vector of an object, wherein the state vector comprises a state variable related to a position or an orientation of the object, based on at least one of a probability density function of the state vector truncated under consideration of a constraint for the state variable, wherein the constraint is derived from a map, and properties of the truncated probability density function.

Original language	English
Patent number	US 8,892,392
IPC	PCT/EP2008/060019
Priority date	4/08/10
Publication status	Published - 11 Aug 2011
Publication type	H1 Granted patent

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Cite this

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title = "State vector estimation using a constraint derived from a map",

abstract = "It is disclosed to estimate a state vector of an object, wherein the state vector comprises a state variable related to a position or an orientation of the object, based on at least one of a probability density function of the state vector truncated under consideration of a constraint for the state variable, wherein the constraint is derived from a map, and properties of the truncated probability density function.",

author = "Tommi Per{\"a}l{\"a} and Simo Ali-L{\"o}ytty",

year = "2011",

month = aug,

day = "11",

language = "English",

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T1 - State vector estimation using a constraint derived from a map

AU - Perälä, Tommi

AU - Ali-Löytty, Simo

PY - 2011/8/11

Y1 - 2011/8/11

N2 - It is disclosed to estimate a state vector of an object, wherein the state vector comprises a state variable related to a position or an orientation of the object, based on at least one of a probability density function of the state vector truncated under consideration of a constraint for the state variable, wherein the constraint is derived from a map, and properties of the truncated probability density function.

AB - It is disclosed to estimate a state vector of an object, wherein the state vector comprises a state variable related to a position or an orientation of the object, based on at least one of a probability density function of the state vector truncated under consideration of a constraint for the state variable, wherein the constraint is derived from a map, and properties of the truncated probability density function.

M3 - Patent

M1 - US 8,892,392

ER -