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Biologically Inspired Vision for Indoor Robot Navigation

dc.contributor.authorSaleiro, Mário
dc.contributor.authorTerzic, Kasim
dc.contributor.authorLobato, D.
dc.contributor.authorRodrigues, J. M. F.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2015-11-04T12:04:40Z
dc.date.available2015-11-04T12:04:40Z
dc.date.issued2014-10-10
dc.description.abstractUltrasonic, infrared, laser and other sensors are being applied in robotics. Although combinations of these have allowed robots to navigate, they are only suited for specific scenarios, depending on their limitations. Recent advances in computer vision are turning cameras into useful low-cost sensors that can operate in most types of environments. Cameras enable robots to detect obstacles, recognize objects, obtain visual odometry, detect and recognize people and gestures, among other possibilities. In this paper we present a completely biologically inspired vision system for robot navigation. It comprises stereo vision for obstacle detection, and object recognition for landmark-based navigation. We employ a novel keypoint descriptor which codes responses of cortical complex cells. We also present a biologically inspired saliency component, based on disparity and colour.
dc.identifier.doihttps://dx.doi.org/10.1007/978-3-319-11755-3_52
dc.identifier.isbn978-3-319-11754-6
dc.identifier.otherAUT: JRO00913; DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/6999
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relation.isbasedonP-00F-JX6
dc.relation.ispartofLecture Notes in Computer Science
dc.titleBiologically Inspired Vision for Indoor Robot Navigation
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage477
oaire.citation.startPage469
oaire.citation.titleImage Analysis and Recognition - 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II
oaire.citation.volume8815
person.familyNameTerzic
person.familyNameRodrigues
person.familyNamedu Buf
person.givenNameKasim
person.givenNameJoao
person.givenNameHans
person.identifier.ciencia-id8A19-98F7-9914
person.identifier.orcid0000-0001-6692-209X
person.identifier.orcid0000-0002-3562-6025
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridN-6522-2013
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id24544884400
person.identifier.scopus-author-id55807461600
person.identifier.scopus-author-id6604075916
rcaap.rightsopenAccess
rcaap.typeconferenceObject
relation.isAuthorOfPublication2c42d5f3-36ff-41eb-8f1a-e6cd706eab4d
relation.isAuthorOfPublication683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscovery2c42d5f3-36ff-41eb-8f1a-e6cd706eab4d

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