Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/497
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Durdu, Akif | - |
dc.contributor.author | Korkmaz, Mehmet | - |
dc.date.accessioned | 2021-12-13T10:26:49Z | - |
dc.date.available | 2021-12-13T10:26:49Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1300-0632 | - |
dc.identifier.issn | 1300-0632 | - |
dc.identifier.uri | https://doi.org/10.3906/elk-1807-335 | - |
dc.identifier.uri | https://app.trdizin.gov.tr/makale/TXpNM05Ua3pNdz09 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/497 | - |
dc.description.abstract | Map merging is a noteworthy phenomenon for cases such as search and rescue and disaster areas in which the duration is quite significant when gathering information about an environment. It is obvious that the total mapping time decreases if the number of agents (robots) increases. However, the use of multiple agents leads to problems such as task allocation schemes and the fusing of local maps. Examining the present methods, it is generally observed that the common features of local maps have been found and the global map is formed by obtaining related transformation between local maps. However, such implementations may be risky when local maps have symmetrical areas. Hence, a novel and semantic approach has been developed to solve this problem. The developed method counts on the reliability level of feature points. If relevant feature points are trusted, local maps are merged according to the best point or points. The simulation results from a robot operating system and a real-time experiment support the proposed method’s efficiency, and mapping can be performed even for environments that have symmetrical similar parts and the task time can thus be reduced. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Turkish Journal of Electrical Engineering and Computer Sciences | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Bilgisayar Bilimleri, Yapay Zeka | en_US |
dc.subject | Bilgisayar Bilimleri, Sibernitik | en_US |
dc.subject | Bilgisayar Bilimleri, Donanım ve Mimari | en_US |
dc.subject | Bilgisayar Bilimleri, Bilgi Sistemleri | en_US |
dc.subject | Bilgisayar Bilimleri, Yazılım Mühendisliği | en_US |
dc.subject | Bilgisayar Bilimleri, Teori ve Metotlar | en_US |
dc.subject | Mühendislik, Elektrik ve Elektronik | en_US |
dc.title | A novel map-merging technique for occupancy grid-based maps using multiple robots: a semantic approach | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3906/elk-1807-335 | - |
dc.identifier.scopus | 2-s2.0-85072653488 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 27 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.startpage | 3980 | en_US |
dc.identifier.endpage | 3993 | en_US |
dc.identifier.wos | WOS:000486425400051 | en_US |
dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.trdizinid | 337593 | en_US |
dc.identifier.scopusquality | Q3 | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
---|---|---|---|
5940f723-4b2c-4e31-acf8-2056fa3e4087.pdf | 10.32 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
6
checked on Apr 13, 2024
WEB OF SCIENCETM
Citations
9
checked on Apr 13, 2024
Page view(s)
100
checked on Apr 15, 2024
Download(s)
50
checked on Apr 15, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.