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Pattern Recognition
Article . 2001 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Article . 2001
Data sources: zbMATH Open
DBLP
Article . 2020
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Qualitative vision for the guidance of legged robots in unstructured environments

Authors: Elisa Martínez; Carme Torras;

Qualitative vision for the guidance of legged robots in unstructured environments

Abstract

Visual procedures especially tailored to the constraints and requirements of a legged robot are presented. They work for an uncalibrated camera, with pan and zoom, freely moving towards a stationary target in an unstructured environment that may contain independently moving objects. The goal is to dynamically analyse the image sequence in order to extract information about the robot motion, the target position and the environment structure. The development is based on the deformations of an active contour fitted to the target. Experimental results confirm that the proposed approach constitutes a promising alternative to the prevailing trend based on the costly computation of displacement or velocity fields.

This work was supported by the project 'Navegación basada en visión de robots autónomos en entornos no estructurados.' (070-724).

Peer Reviewed

Related Organizations
Keywords

Egomotion recovery, Computing methodologies and applications, 3D-reconstruction, Artificial intelligence for robotics, image sequences, visual robot navigation, Machine vision and scene understanding, Uncalibrated camera, Image sequences, Unstructured environment, Visual robot navigation, Contour tracking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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13
Average
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41
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