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Title: Sensors Fusion Fusion des Données de Capteurs
Authors: AMAR-BENSABER, MOhammed
Keywords: Sensor Fusion
Kalman Filter
Fuzzy Logic
Issue Date: 2022
Abstract: Sensor fusion is defined as the process of combining data from inter-related sensors that provide complementary views of the same phenomenon. This generally allows more accurate inferences than those yielded by the analysis of each sensor independently to assist in the overall understanding of the phenomenon in question. Numerous sensor fusion approaches are discussed in this thesis. We look into the application of the Kalman filter in the field of transport, mainly cycling and vehicles, as well as the possibility to improve its results by incorporating Fuzzy logic to better formulate external information. *** La fusion de capteurs est d´efinie comme le processus qui consiste `a combiner les donn´ees de capteurs interd´ependants qui fournissent des vues compl´ementaires d’un mˆeme ph´enom`ene. Cela permet g´en´eralement des inf´erences plus pr´ecises que celles produites par l’analyse de chaque capteur ind´ependamment, afin d’aider `a la compr´ehension globale du ph´enom`ene en question. De nombreuses approches de fusion de capteurs sont discut´ees dans cette th`ese. Nous ´etudions l’application du filtre de Kalman dans le domaine des transports, principalement le v´elo et les v´ehicules, ainsi que la possibilit´e d’am´eliorer ses r´esultats en incorporant la logique floue pour mieux formuler les informations externes.
Description: Encadreur : M BELFEDHAL Alaa Eddine
Appears in Collections:Master

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