Variance Behavior and Signification in Probabilistic Framework Applied to Vehicle Localization
The aim of this paper is to propose a discussion about the covariance signification and representation in probabilistic vehicle localization processes. Especially, we focus on its behavior along different trajectories (straight lines and curves). We discuss the interpretation, on one hand, of the me...
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| creator | Mourllion, B. Gruyer, D. Lambert, A. |
| description | The aim of this paper is to propose a discussion about the covariance signification and representation in probabilistic vehicle localization processes. Especially, we focus on its behavior along different trajectories (straight lines and curves). We discuss the interpretation, on one hand, of the mean (computed through a Monte Carlo simulation or estimated through an extended Kalman filtering process) and, on the other hand, of the uncertainty ellipses |
| doi_str_mv | 10.1109/IVS.2006.1689644 |
| format | Conference Proceeding |
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Especially, we focus on its behavior along different trajectories (straight lines and curves). We discuss the interpretation, on one hand, of the mean (computed through a Monte Carlo simulation or estimated through an extended Kalman filtering process) and, on the other hand, of the uncertainty ellipses</abstract><pub>IEEE</pub><doi>10.1109/IVS.2006.1689644</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2006 IEEE Intelligent Vehicles Symposium, 2006, p.294-299 |
| issn | 1931-0587 2642-7214 |
| language | eng |
| recordid | cdi_ieee_primary_1689644 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Background noise Filtering Gaussian noise Jacobian matrices Kalman filters Linear systems Noise measurement State estimation Uncertainty Vehicles |
| title | Variance Behavior and Signification in Probabilistic Framework Applied to Vehicle Localization |
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