Feasibility Analysis of Path Planning Algorithms

Elbera Allozi*, Abdurrahman Yilmaz, Osman Ervan, Hakan Temeltas

*Bu çalışma için yazışmadan sorumlu yazar

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Özet

Path planning, which aims to find the most suitable route between source and destination, is a challenging problem in mobile robotics. Although there are several study ideas on the path planning challenges of mobile robots in the literature, there is no approach that evaluates path quality qualitatively and quantitatively. It is significant to choose the optimal path by analyzing the properties of the path and the planning algorithm for effectiveness and efficiency. In this paper, we proposed a feasibility analysis to evaluate the quality of the path planning algorithm from various perspectives. This paper defines criteria for path planning algorithms and investigates traceability, smoothness, and shortness factors. Furthermore, by using these test results, a novel artificial neural network-based method has been proposed to enhance path planning algorithms without altering them.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022
EditörlerRichard Chbeir, Tulay Yildirim, Ladjel Bellatreche, Yannis Manolopoulos, Apostolos Papadopoulos, Karam Bou Chaaya
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665498104
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022 - Biarritz, France
Süre: 8 Ağu 202212 Ağu 2022

Yayın serisi

Adı16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022

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???event.eventtypes.event.conference???16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022
Ülke/BölgeFrance
ŞehirBiarritz
Periyot8/08/2212/08/22

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© 2022 IEEE.

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