Explanation and Speedup Comparison of Advanced Path-planning Algorithms Presented on Two-dimensional Grid
dc.contributor.author | Soustek, Petr | |
dc.contributor.author | Matousek, Radomil | |
dc.contributor.author | Dvorak, Jiri | |
dc.contributor.author | Manakova, Lenka | |
dc.coverage.issue | 2 | cs |
dc.coverage.volume | 28 | cs |
dc.date.accessioned | 2023-01-13T06:21:06Z | |
dc.date.available | 2023-01-13T06:21:06Z | |
dc.date.issued | 2022-12-20 | cs |
dc.description.abstract | Path planning or network route planning problems are an important issue in AI, robotics, or computer games. Appropriate implementation and knowledge of advanced and classical path-planning algorithms can be important for both autonomous navigation systems and computer games. In this paper, we compare advanced path planning algorithms implemented on a two-dimensional grid. Advanced path planning algorithms, including pseudocode, are introduced. The experiments were performed in the Python environment, thus with a significant performance margin over C++ or Rust implementations. The main focus is on the speedup of the algorithms compared to a baseline method, which was chosen to be the well-known Dijkstra's algorithm. All experiments correspond to trajectories on a two-dimensional grid, with variously defined constraints. The motion from each node corresponds to a Moore neighborhood, i.e., it is possible in eight directions. In this paper, three well-known path planning algorithms are described and compared: the Dijkstra, A* and A* /w Bounding Box. And two advanced methods are included, namely Jump Point Search (JPS), incorporated with the Bounding Box variant (JPS+BB), and Simple Subgoal (SS). These advanced methods clearly show their advantage in the context of the speed up of solution time. | en |
dc.format | text | cs |
dc.format.extent | 97-107 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Mendel. 2022 vol. 28, č. 2, s. 97-107. ISSN 1803-3814 | cs |
dc.identifier.doi | 10.13164/mendel.2022.2.097 | en |
dc.identifier.issn | 2571-3701 | |
dc.identifier.issn | 1803-3820 | |
dc.identifier.uri | http://hdl.handle.net/11012/208742 | |
dc.language.iso | en | cs |
dc.publisher | Institute of Automation and Computer Science, Brno University of Technology | cs |
dc.relation.ispartof | Mendel | cs |
dc.relation.uri | https://mendel-journal.org/index.php/mendel/article/view/209 | cs |
dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license | en |
dc.rights.access | openAccess | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0 | en |
dc.subject | Path planning | en |
dc.subject | Route planning | en |
dc.subject | JPS algorithm | en |
dc.subject | Subgoal algorithm | en |
dc.subject | A* algorithm | en |
dc.subject | Dijkstra's algorithm | en |
dc.title | Explanation and Speedup Comparison of Advanced Path-planning Algorithms Presented on Two-dimensional Grid | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.faculty | Fakulta strojního inženýrství | cs |
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