dc.contributor.author | Tek, Faik Boray | en_US |
dc.contributor.author | İyidir, İbrahim Kamil | en_US |
dc.contributor.author | Kırcalı, Doğan | en_US |
dc.date.accessioned | 2015-12-09T10:24:08Z | |
dc.date.available | 2015-12-09T10:24:08Z | |
dc.date.issued | 2012-10-07 | |
dc.identifier.citation | İyidir, İ. K., Tek, F. B. & Kırcalı, D. (2012). Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor. Lecture Notes in Computer Science, 7584(Part 2), 526-535. doi:10.1007/978-3-642-33868-7_52 | en_US |
dc.identifier.isbn | 9783642338687 | |
dc.identifier.isbn | 9783642338670 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | https://hdl.handle.net/11729/732 | |
dc.identifier.uri | http://dx.doi.org/10.1007/978-3-642-33868-7_52 | |
dc.description.abstract | This paper presents a novel vision based obstacle detection algorithm that is adapted from a powerful background subtraction algorithm: ViBe (VIsual Background Extractor). We describe an adaptive obstacle detection method using monocular color vision and an ultrasonic distance sensor. Our approach assumes an obstacle free region in front of the robot in the initial frame. However, the method dynamically adapts to its environment in the succeeding frames. The adaptation is performed using a model update rule based on using ultrasonic distance sensor reading. Our detailed experiments validate the proposed concept and ultrasonic sensor based model update. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer-Verlag | en_US |
dc.relation.isversionof | 10.1007/978-3-642-33868-7_52 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Background subtraction algorithms | en_US |
dc.subject | Distance sensors | en_US |
dc.subject | Free region | en_US |
dc.subject | Model updates | en_US |
dc.subject | Monocular cameras | en_US |
dc.subject | Obstacle detection | en_US |
dc.subject | Rule based | en_US |
dc.subject | ViBe | en_US |
dc.subject | Vision based | en_US |
dc.subject | Visual obstacle detection | en_US |
dc.subject | Color vision | en_US |
dc.subject | Mobile robots | en_US |
dc.subject | Obstacle detectors | en_US |
dc.subject | Sensors | en_US |
dc.subject | Ultrasonic sensors | en_US |
dc.subject | Computer vision | en_US |
dc.title | Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Publisher's Version | en_US |
dc.relation.journal | Lecture Notes in Computer Science | en_US |
dc.contributor.department | Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.contributor.department | Işık University, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.contributor.authorID | 0000-0001-7723-3732 | |
dc.contributor.authorID | 0000-0002-8649-6013 | |
dc.identifier.volume | 7584 | |
dc.identifier.issue | 2 | |
dc.identifier.issue | Part 2 | |
dc.identifier.startpage | 526 | |
dc.identifier.endpage | 535 | |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.institutionauthor | Tek, Faik Boray | en_US |
dc.contributor.institutionauthor | İyidir, İbrahim Kamil | en_US |
dc.contributor.institutionauthor | Kırcalı, Doğan | en_US |
dc.relation.index | WOS | en_US |
dc.relation.index | Scopus | en_US |
dc.relation.index | Conference Proceedings Citation Index – Science (CPCI-S) | en_US |
dc.description.quality | Q4 | |
dc.description.wosid | WOS:000371260700052 | |