Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems

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dc.authorscopusid 57215311118
dc.authorscopusid 35088652200
dc.authorscopusid 57215327105
dc.authorscopusid 57215319842
dc.authorscopusid 57215331821
dc.contributor.author Al-Tekreeti, M.
dc.contributor.author Özyer, S.T.
dc.contributor.author Özdemir, C.
dc.contributor.author Karadag, A.
dc.contributor.author Al-Dakheel, S.
dc.contributor.authorID 18980 tr_TR
dc.date.accessioned 2020-11-30T11:26:08Z
dc.date.available 2020-11-30T11:26:08Z
dc.date.issued 2019
dc.department Çankaya University en_US
dc.department-temp Al-Tekreeti M., Electronic and Communication, Engineering Department Cankaya University, Ankara, Turkey; Özyer S.T., Computer Engineering Department, Cankaya University, Ankara, Turkey; Özdemir C., Rakun Company, Ankara, Turkey; Karadag A., Rakun Company, Ankara, Turkey; Al-Dakheel S., Information Technology Department, Cankaya University, Ankara, Turkey en_US
dc.description.abstract In this paper, Unmanned Surface Vehicles (USV) prototype and system design have been presented for the rescue of human life at sea. The USV will be protected from obstacles that may cause a crash to the USV by avoiding the obstacles using many kinds of detection sensors. All of these sensors send results to Crash Avoidance System (CAS) and to the main computer to control the USV direction depends on the obstacle shape, size or if it is a moving obstacle or not. The sensors that will be used for this purpose are Light Detection and Ranging (LIDAR) sensor, LIDAR-Lite sensors and ultrasonic sensors. All the information that will be collected from all these types of sensors will be used to direct the USV to the safe path. This work is a part of the research and development project which is accepted in Turkey Government with the collaboration of the University and Industry. © 2019 ACM. en_US
dc.description.sponsorship TTO, (1/KSGB/ARGEI/2018/04/132-1); Turkish grants Kosgeb; Çankaya University Technology Transfer Office en_US
dc.identifier.citation Altekreeti, Mahmood...et al. "Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems", ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control, Italy, 2019. en_US
dc.identifier.doi 10.1145/3386164.3390514
dc.identifier.isbn 9781450376617
dc.identifier.scopus 2-s2.0-85123040760
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1145/3386164.3390514
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartof ACM International Conference Proceeding Series -- 3rd International Symposium on Computer Science and Intelligent Control, ISCSIC 2019 -- 25 September 2019 through 27 September 2019 -- Amsterdam -- 160673 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Crash Avoidance System en_US
dc.subject Gps en_US
dc.subject Internet Of Things en_US
dc.subject Unmanned Surface Vehicle en_US
dc.title Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems tr_TR
dc.title Unmanned Surface Vehicle Prototype With Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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