Visual place recognition using bayesian filtering with markov chains - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Conference Papers Year : 2011

Visual place recognition using bayesian filtering with markov chains

Abstract

We present a novel idea to use Bayesian filtering in the case of place recognition. More precisely, our system combines global image characterization, Learned Vector Quantization, Markov chains and Bayesian filtering. The goal is to integrate several images seen by a robot during exploration of the environment and the dependency between them. We present our system and the new Bayesian filtering algorithm. Our system has been evaluated on a standard database and shows promising results.
Fichier principal
Vignette du fichier
esann2011.pdf (348.76 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00765805 , version 1 (16-12-2012)

Identifiers

  • HAL Id : hal-00765805 , version 1

Cite

Mathieu Dubois, Hervé Guillaume, Frenoux Emmanuelle, Philippe Tarroux. Visual place recognition using bayesian filtering with markov chains. ESANN - European Symposium on Artificial Neural Networks - 2011, Apr 2012, Brugges, Belgium. ⟨hal-00765805⟩
99 View
96 Download

Share

Gmail Facebook X LinkedIn More