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La recherche au DEOS

“Navigation, Radar and Remonte Sensing” (NAVIR² eS) scientific group

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The “Navigation, Radar and Remonte Sensing” (NAVIR² eS) scientific group is interested in the theoretical study of information sources and hybridization approaches for autonomous vehicle navigation applications.

Nos thématiques de recherche

Le groupe « Navigation, Radar and Remonte Sensing » (NAVIR²eS) travaille sur trois thématiques liées au traitement du signal et de l’image et s’intéresse à la chaîne complète de perception :

  1. Analyse et traitement du signal : des travaux sont menés sur l’amélioration des signaux pour l’amélioration des performances des capteurs GNSS mais également sur les techniques d’analyse d’images visibles et multi ou hyperspectrales. De plus, des approches de détection et d’analyse par réflectométrie GNSS (GNSS-R) sont conduites. Ces travaux ont pour objectif d’extraire de façon pertinente et efficace l’information utile d’un signal brut.
  2. Fusion d’informations multi-source : sur la base des informations extraites du signal, des approches de fusion multi-information sont menées dans le contexte de la navigation autonome. Des travaux sont menés notamment dans le domaine de la localisation et cartographie simultanées (SLAM) appliqué à la navigation autonome de véhicules.

  3. Analyse des performances : les approches de navigation ainsi développées sont aussi analysées au sens des performances atteignables. De nouvelles approches de filtrage sous contrainte et de calculs de bornes de performances sont étudiées pour valider et évaluer les méthodes proposées.

Nos axes de recherche

  • Nouvelles architextures de systèmes GNSS

 

L’équipe travaille au développement de nouvelles architectures de récepteur GNSS en intégrant les multi-constellation, le multi-fréquence et en développant de nouvelles approches algorithmiques au niveau signal.

  • Navigation par hybridation multimodale

 

Nous nous intéressons à l’étude d’algorithmes d’hybridation multimodale intégrant, entre autre, Vision, IMU et GNSS pour des approches de navigation autonome de véhicules et de cartographie d’environnement.

  • Études théoriques de performance

 

 

L’étude théorique des performances algorithmiques des approches d’estimation est également conduite. Un des objectifs est de compenser les erreurs de modélisation des systèmes par l’utilisation d’estimateurs sous contraintes.

  • Approches de perception et d’analyse d’environnement

 

Dans un objectif de détection et de caractérisation de l’environnement, l’équipe s’intéresse à des approches de traitement du signal pour l’imagerie multi/hyperspectrale mais également à des méthodes de réflectométrie par signal GNSS (GNSS-R).

Eric Chaumette
Eric Chaumette

Responsable Groupe NAVIR²eS

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