A Comparison of Ultrasonic and Laser Sensor-Based SLAM Algorithms Applied to Carlike Vehicles

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dc.authoridhttps://orcid.org/0000-0002-4708-9108en_US
dc.authoridhttps://orcid.org/0000-0002-8995-9300en_US
dc.contributor.authorTombal, Nevzat Yağız
dc.contributor.authorMumcu, Tarık Veli
dc.date.accessioned2024-08-23T09:22:32Z
dc.date.available2024-08-23T09:22:32Z
dc.date.issued2024en_US
dc.departmentİstanbul Gelişim Meslek Yüksekokuluen_US
dc.description.abstractSimultaneous localization and mapping (SLAM) is the process of building a consistent map of the environment an autonomous mobile robot travels while simultaneously determining its position on the map when it is placed in an unknown location in an unknown environment. SLAM is used in technologies such as autonomous vehicle systems, post-disaster recovery, and life detection, mine or dent map extraction. SLAM aims to improve today's autonomous robot technology and build a near-perfect autonomous robot technology in the future. With this thought, researchers' interest in the SLAM problem and studies on it have continued increasingly. In this way, SLAM gives results closer to reality. One of the most important criteria of an autonomous robot is its ability to perceive its environment. Sensors placed on the robot transform environmental conditions information into signals suitable for processing by the robot. Proper sensor selection is very important as it affects the quality and quantity of environmental condition information presented to the robot. The study aims to determine the sensor technologies used in SLAM and their contribution to the solution of the SLAM problem. In this study, data were acquired in a specific environment using a single sensor.en_US
dc.identifier.doi10.5152/electrica.2024.23075en_US
dc.identifier.endpage237en_US
dc.identifier.issn2619-9831
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85185537220en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage228en_US
dc.identifier.trdizinid1253422en_US
dc.identifier.urihttps://hdl.handle.net/11363/7534
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1253422
dc.identifier.urihttps://doi.org/
dc.identifier.volume24en_US
dc.identifier.wosWOS:001275870300022en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorTombal, Nevzat Yağız
dc.language.isoenen_US
dc.publisherİstanbul Üniversitesi-Cerrahpaşaen_US
dc.relation.ispartofElectricaen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutonomousen_US
dc.subjectlocalizationen_US
dc.subjectmappingen_US
dc.subjectroboten_US
dc.subjectsensoren_US
dc.titleA Comparison of Ultrasonic and Laser Sensor-Based SLAM Algorithms Applied to Carlike Vehiclesen_US
dc.typeArticleen_US

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