The Landform Contextual Mesh: Automatically Fusing Surface and Orbital Terrain for Mars 2020
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arXiv
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| Auteur principal: | |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909800131985408 |
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| author | Vona, Marsette |
| author_facet | Vona, Marsette |
| contents | The Landform contextual mesh fuses 2D and 3D data from up to thousands of Mars 2020 rover images, along with orbital elevation and color maps from Mars Reconnaissance Orbiter, into an interactive 3D terrain visualization. Contextual meshes are built automatically for each rover location during mission ground data system processing, and are made available to mission scientists for tactical and strategic planning in the Advanced Science Targeting Tool for Robotic Operations (ASTTRO). A subset of them are also deployed to the "Explore with Perseverance" public access website. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_18330 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Landform Contextual Mesh: Automatically Fusing Surface and Orbital Terrain for Mars 2020 Vona, Marsette Robotics The Landform contextual mesh fuses 2D and 3D data from up to thousands of Mars 2020 rover images, along with orbital elevation and color maps from Mars Reconnaissance Orbiter, into an interactive 3D terrain visualization. Contextual meshes are built automatically for each rover location during mission ground data system processing, and are made available to mission scientists for tactical and strategic planning in the Advanced Science Targeting Tool for Robotic Operations (ASTTRO). A subset of them are also deployed to the "Explore with Perseverance" public access website. |
| title | The Landform Contextual Mesh: Automatically Fusing Surface and Orbital Terrain for Mars 2020 |
| topic | Robotics |
| url | https://arxiv.org/abs/2509.18330 |