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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Panich S. | |
dc.date.accessioned | 2021-04-05T03:36:57Z | - |
dc.date.available | 2021-04-05T03:36:57Z | - |
dc.date.issued | 2010 | |
dc.identifier.issn | 15493644 | |
dc.identifier.other | 2-s2.0-77956817883 | |
dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/14741 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956817883&doi=10.3844%2fjmssp.2010.276.278&partnerID=40&md5=baaf153e5aac8f59d2dcd3cfd26ffdd7 | |
dc.description.abstract | Problem statement: Path planning algorithms need to be developed and implemented in a suitable manner to give better understanding about the intelligent system and also stimulates technological supply to enormous demands in an intelligent vehicle industry. Approach: This study concerned with intelligent path planning using A* search algorithm. Results: This study introduced intelligent path planning with A* search algorithm, which use to generate the most efficient path to goal. The algorithm was tested on simulator. Conclusion: This study is an implementation of a path planning for an intelligent path planning. The implementations are tested and verified with the simulation software. The path planning algorithms were selected for the implementation and to verify them. © 2010 Science Publications. | |
dc.title | The shortest path with intelligent algorithm | |
dc.type | Article | |
dc.rights.holder | Scopus | |
dc.identifier.bibliograpycitation | Journal of Mathematics and Statistics. Vol 6, No.3 (2010), p.276-278 | |
dc.identifier.doi | 10.3844/jmssp.2010.276.278 | |
Appears in Collections: | Scopus 1983-2021 |
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