Comparison of optimal path planning algorithms

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dc.contributor.authorKorkmaz, Mehmet
dc.contributor.authorDurdu, Akif
dc.date.accessioned2020-03-26T19:53:11Z
dc.date.available2020-03-26T19:53:11Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) -- FEB 20-24, 2018 -- Lviv, UKRAINEen_US
dc.description.abstractThis work is concerned with path planning algorithms which have an important place in robotic navigation. Mobile robots must be moved to the relevant task point in order to be able to fulfill the tasks assigned to them. However, the movements planned in a frame or random may affect the duty time and even in some situations, the duty might be failed. When such problems are taken into consideration, it is expected that the robots should go to the task point and complete their tasks within the shortest time and most suitable way. It is aimed to give results about a comparison of some known algorithms. With this thought, a map for a real time environment has been created and the appropriateness of the algorithms are investigated with respect to the described starting/end points. According to the results, the shortest path is found by the A* algorithm. However, it is observed that the time efficiency of this algorithm very low. On the other hand, PRM algorithm is the most suitable method in terms of elapsed time. In addition to this, algorithm path length is closer to the A* algorithm. The results are analyzed and commented according to the statistical analysis methods.en_US
dc.description.sponsorshipIEEE, IEEE Ukraine Sect, Mil Univ Technol, Natl Univ Lviv Polytechnen_US
dc.identifier.endpage258en_US
dc.identifier.isbn978-1-5386-2556-9
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage255en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36431
dc.identifier.wosWOS:000465121700048en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectpath planning methods. SLAMen_US
dc.subjectstatistical analysisen_US
dc.titleComparison of optimal path planning algorithmsen_US
dc.typeConference Objecten_US

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