Adaptive grids: an image-based approach to generate navigation meshes
| dc.citation.epage | 12 | en_US |
| dc.citation.issueNumber | 2 | en_US |
| dc.citation.spage | 1 | en_US |
| dc.citation.volumeNumber | 52 | en_US |
| dc.contributor.author | Akaydın, A. | en_US |
| dc.contributor.author | Güdükbay, U. | en_US |
| dc.date.accessioned | 2015-07-28T12:04:03Z | |
| dc.date.available | 2015-07-28T12:04:03Z | |
| dc.date.issued | 2013-02-01 | en_US |
| dc.department | Department of Computer Engineering | en_US |
| dc.description.abstract | We propose adaptive grids, an image-based approach for constructing navigation meshes, which are used for path planning. A cellular navigation mesh, called an adaptive grid, is constructed from a top-view range image of a three-dimensional urban model. A navigation graph can then be extracted from this adaptive grid for path planning. We compare our approach with two popular navigation mesh-generation approaches and obtain promising results in terms of path accuracy and memory cost. | en_US |
| dc.identifier.doi | 10.1117/1.OE.52.2.027002 | en_US |
| dc.identifier.issn | 0091-3286 | |
| dc.identifier.uri | http://hdl.handle.net/11693/12947 | |
| dc.language.iso | English | en_US |
| dc.publisher | S P I E - International Society for Optical Engineering | en_US |
| dc.relation.isversionof | https://doi.org/10.1117/1.OE.52.2.027002 | en_US |
| dc.source.title | Optical Engineering | en_US |
| dc.subject | Adaptive grids | en_US |
| dc.subject | Crowd simulation | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Navigation meshes | en_US |
| dc.subject | Path planning | en_US |
| dc.subject | Space subdivision | en_US |
| dc.title | Adaptive grids: an image-based approach to generate navigation meshes | en_US |
| dc.type | Article | en_US |
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