Umgebungskartenschätzung aus Sidescan-Sonardaten für ein autonomes Unterwasserfahrzeug
This work makes several contributions to the process of estimating elevation maps from side-scan sonar data: A new estimation method that recreates sonar measurements by pre-computed known sonar responses (so called kernels) and then derives a height profile from the kernels used. Additionally, a 3D...
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| Hovedforfatter: | |
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| Format: | Online |
| Sprog: | tysk |
| Udgivet: |
KIT Scientific Publishing
2021
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| Fag: | |
| Online adgang: | 34276 |
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| Summary: | This work makes several contributions to the process of estimating elevation maps from side-scan sonar data: A new estimation method that recreates sonar measurements by pre-computed known sonar responses (so called kernels) and then derives a height profile from the kernels used. Additionally, a 3D method based on Markov Random Fields and a side-scan sonar simulation environment for arbitraty 3D scenes featuring different sonar modes and several terrain generators have been developed. |
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