DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jonsson, Thorsteinn B | ko |
dc.contributor.author | Wang, Jeonghyeon | ko |
dc.contributor.author | Kim, Jinwhan | ko |
dc.date.accessioned | 2023-07-20T11:00:32Z | - |
dc.date.available | 2023-07-20T11:00:32Z | - |
dc.date.created | 2023-07-07 | - |
dc.date.issued | 2019-01 | - |
dc.identifier.citation | AIAA Scitech Forum, 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10203/310728 | - |
dc.description.abstract | This paper proposes an adaptive path planning algorithm for efficient scalar field reconstruction with a single vehicle platform. This is done by exploiting the underlying field characteristics so that sampling from the field is more focused on informative areas that leads to a more accurate field reconstruction. To accomplish this, we use Bayesian optimization to optimize sampling locations and Gaussian process regression to model the underlying field. Furthermore, we define a new acquisition function in the Bayesian optimization framework to guide the search for an efficient solution in terms of path length. We compare the proposed method to a commonly used exhaustive coverage path planning algorithm and demonstrate the effectiveness of the proposed approach. | - |
dc.language | English | - |
dc.publisher | American Institute of Aeronautics and Astronautics Inc, AIAA | - |
dc.title | Informative path planning with gaussian processes for efficient scalar field reconstruction | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85083941705 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | AIAA Scitech Forum, 2019 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | San Diego, CA | - |
dc.contributor.localauthor | Kim, Jinwhan | - |
dc.contributor.nonIdAuthor | Jonsson, Thorsteinn B | - |
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