Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/7630
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moita, Fernando | - |
dc.contributor.author | Lopes, Ana | - |
dc.contributor.author | Nunes, Urbano | - |
dc.date.accessioned | 2009-02-17T10:23:15Z | - |
dc.date.available | 2009-02-17T10:23:15Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | Journal of Intelligent and Robotic Systems. 50:2 (2007) 141-162 | en_US |
dc.identifier.uri | https://hdl.handle.net/10316/7630 | - |
dc.description.abstract | Abstract A binaural sonar configuration with capability to detect and identify walls, edges and corners on real-time is presented in this work. A new multi-echo ultra-fast firing method increases the sonar acquisition rate, and provides crossed measurements without interference. A feature map is built on-line using Bayesian updating and classification rules. Three classifiers are implemented and analyzed: minimum risk (MR), maximum a posteriori (MAP), and minimum distance (MD). Experimental results of ultrasonic reflector recognition, using data collected in a specular indoor environment are presented in the paper. | en_US |
dc.language.iso | eng | eng |
dc.rights | openAccess | eng |
dc.title | A Fast Firing Binaural System for Ultrasonic Pattern Recognition | en_US |
dc.type | article | en_US |
dc.identifier.doi | 10.1007/s10846-007-9158-5 | en_US |
uc.controloAutoridade | Sim | - |
item.fulltext | Com Texto completo | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
crisitem.author.researchunit | ISR - Institute of Systems and Robotics | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.orcid | 0000-0001-6695-477X | - |
crisitem.author.orcid | 0000-0002-7750-5221 | - |
Appears in Collections: | FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.