Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Robust Data Processing in the Presence of Uncertainty and Outliers: Case of Localization Problems

Anthony Welte Luc Jaulin 1, 2, 3 Martine Ceberio 4 Vladik Kreinovich 4
1 Lab-STICC_ENSTAB_CID_IHSEV
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_OSM
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
3 Lab-STICC_ENSTAB_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : To properly process data, we need to take into account both the measurement errors and the fact that some of the observations may be outliers. This is especially important in radar-based localization problems, where some signals may reflect not from the analyzed object, but from some nearby object. There are known methods for dealing with both measurement errors and outliers in situations in which we have full information about the corresponding probability distributions. There are also known statistics-based methods for dealing with measurement errors in situations when we only have partial information about the corresponding probabilities. In this paper, we show how these methods can be extended to situations in which we also have partial inf0ormation about the outliers (and even to situations when we have no information about the outliers). In some situations in which efficient semi-heuristic methods are known, our methodology leads to a justification of these efficient heuristics – which makes us confident that our new methods will be efficient in other situations as well.
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal-ensta-bretagne.archives-ouvertes.fr/hal-01465859
Contributeur : Annick Billon-Coat <>
Soumis le : lundi 13 février 2017 - 11:02:09
Dernière modification le : mercredi 5 août 2020 - 03:43:47

Identifiants

  • HAL Id : hal-01465859, version 1

Citation

Anthony Welte, Luc Jaulin, Martine Ceberio, Vladik Kreinovich. Robust Data Processing in the Presence of Uncertainty and Outliers: Case of Localization Problems. SSCI 2016, Dec 2016, Athenes, Greece. ⟨hal-01465859⟩

Partager

Métriques

Consultations de la notice

1754