Kernel characterization of an interval function
Langue
en
Article de revue
Ce document a été publié dans
Mathematics in Computer Science. 2014-08-01, vol. 8, n° 3-4, p. 379-390
Springer
Résumé en anglais
This paper proposes a set-membership approach to characterize the kernel of an intervalvalued function. In the context of a bounded-error estimation, this formulation makes it possible to embed all uncertainties of the ...Lire la suite >
This paper proposes a set-membership approach to characterize the kernel of an intervalvalued function. In the context of a bounded-error estimation, this formulation makes it possible to embed all uncertainties of the problem inside the interval function and thus to avoid bisections with respect to all these uncertainties. To illustrate the principle of the approach, two testcases taken from robotics will be presented. The first testcase deals with the characterization of all loops of a mobile robot from proprioceptive measurements only. The second testcase is the localization of a robot from range-only measurements.< Réduire
Mots clés en anglais
localization
interval analysis
kernel
robotics
loop closure
localization.
Origine
Importé de halUnités de recherche