Please use this identifier to cite or link to this item:
http://hdl.handle.net/10261/30528
Share/Export:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Title: | Qualitative vision for the guidance of legged robots in unstructured environments |
Authors: | Martínez Marroquín, Elisa; Torras, Carme CSIC ORCID | Keywords: | Image sequences Egomotion recovery 3D-reconstruction Uncalibrated camera Unstructured environment Contour tracking Visual robot navigation |
Issue Date: | 2001 | Publisher: | Elsevier | Citation: | Pattern Recognition 34(8): 1585-1599 (2001) | 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. | Publisher version (URL): | http://dx.doi.org/10.1016/S0031-3203(00)00093-5 | URI: | http://hdl.handle.net/10261/30528 | DOI: | 10.1016/S0031-3203(00)00093-5 | ISSN: | 0031-3203 |
Appears in Collections: | (IRII) Artículos |
Show full item record
CORE Recommender
SCOPUSTM
Citations
17
checked on Mar 12, 2024
WEB OF SCIENCETM
Citations
18
checked on Feb 22, 2024
Page view(s)
355
checked on Mar 18, 2024
Download(s)
321
checked on Mar 18, 2024
Google ScholarTM
Check
Altmetric
Altmetric
WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.