Clearance-Based Performance-Efficient Path Planning Using Generalized Voronoi Diagramopen access
- Authors
- Lee, JunTak; Kang, Tae-Won; Choi, Yong-Sik; Jung, Jin-Woo
- Issue Date
- Sep-2023
- Publisher
- 한국지능시스템학회
- Keywords
- A-star algorithm; DP algorithm; Generalized Voronoi diagram; Path finding
- Citation
- International Journal of Fuzzy Logic and Intelligent Systems, v.23, no.3, pp 259 - 269
- Pages
- 11
- Indexed
- SCOPUS
ESCI
KCI
- Journal Title
- International Journal of Fuzzy Logic and Intelligent Systems
- Volume
- 23
- Number
- 3
- Start Page
- 259
- End Page
- 269
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/22745
- DOI
- 10.5391/IJFIS.2023.23.3.259
- ISSN
- 1598-2645
2093-744X
- Abstract
- The Voronoi diagram is one of the most well-known methods in clearance-based pathfinding. The generalized Voronoi diagram, which is derived from the Voronoi diagram, accepts a polygon as input. This study proposes a method for generating and simplifying a generalized Voronoi diagram. A generalized Voronoi diagram is generated by creating a Voronoi diagram with points representing polygons. The Douglas-Peucker line simplification algorithm is used to simplify the diagram, and the A-star algorithm is used to determine the optimal path. By comparing the simplified and non-simplified versions, we determine that the simplifying process decreases the run time while preserving most of the clearance; however, the distance inefficiency of the Voronoi diagram is not overcome. Additional research is required to determine a more distance-efficient path. © The Korean Institute of Intelligent Systems
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- Appears in
Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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