Vision-Based Methods for Mobile Robot Localization and Wheel Sinkage Estimation (Contributo in atti di convegno)

Type
Label
  • Vision-Based Methods for Mobile Robot Localization and Wheel Sinkage Estimation (Contributo in atti di convegno) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Giulio Reina, Annalisa Milella, Mario Foglia (2008)
    Vision-Based Methods for Mobile Robot Localization and Wheel Sinkage Estimation
    in 1st Annual Dynamic Systems and Control Conference, Ann Arbor, Michigan, USA
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Giulio Reina, Annalisa Milella, Mario Foglia (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • External perception based on vision plays a critical role in developing improved and robust localization algorithms for mobile robots, as well as in gaining important information about the vehicle and the traversed terrain. This paper presents two novel methods to improve mobility on rough terrains by using visual input. The first method consists of a stereovision algorithm for 6-DoF ego-motion estimation, which integrates image intensity information and 3D stereo data using an Iterative Closest Point (ICP) approach. The second method aims at estimating the wheel sinkage of a mobile robot on deformable soil, based on the visual input from an onboard monocular camera, and an edge detection strategy. Both methods were implemented and experimentally validated on an all-terrain mobile robot, showing that the proposed techniques can be successfully employed to improve the performance of ground vehicles operating in uncharted environments. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Università del Salento ISSIA-CNR Politecnico di Bari (literal)
Titolo
  • Vision-Based Methods for Mobile Robot Localization and Wheel Sinkage Estimation (literal)
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