将火星车影像与轨道数据融合，生成可交互的3D地形图
The Landform Contextual Mesh: Automatically Fusing Surface and Orbital Terrain for Mars 2020
- 自动融合火星车图像与轨道高程/色彩数据构建上下文网格
- 为任务科学家提供战术与战略规划支持，提升探测效率
- 部分成果公开于'探索毅力号'网站，供公众访问
地形单元上下文网格将多达数千张火星2020漫游车图像的二维与三维数据，以及来自火星勘测轨道飞行器的轨道高程和颜色地图，融合为可交互的3D地形可视化。在任务地面数据系统处理过程中，每个漫游车位置均自动生成上下文网格，并提供给任务科学家用于机器人操作的高级科学目标规划工具（ASTTRO）。其中一部分成果还被部署至“探索毅力号”公众访问网站。
原文摘要 · Abstract (English)
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.
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