基于HoloOcean的海岸环境生成
Coastal Environment Generation with HoloOcean
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中文总结 AI 辅助
针对海洋仿真环境创建依赖人工且需专业知识的问题，提出基于HoloOcean和虚幻引擎5的自动海岸环境生成管线，利用俯视图像生成高程图并自动放置资产。
中文摘要 AI 辅助
海洋机器人仿真为无人水下航行器（UUV）和无人水面艇（USV）的自主性与感知算法在全面实地部署之前提供了一种安全且低成本的研究与测试方法。然而，这些仿真常常受到可用仿真环境数量的限制。当前的海洋机器人仿真套件提供了手动编辑或创建环境的方式，但这需要现有数据或对环境系统的专业知识。为解决这些问题，我们提出了一种新颖的虚幻引擎5（Unreal Engine 5）关卡生成管线，能够为HoloOcean自动创建海岸环境。我们的管线依赖于用户提供的海岸场景俯视图像，然后利用该图像生成高程图数据，并自动选择资产并将其放置到环境中。
英文摘要
Marine robotic simulation provides a safe and inexpensive method of developing and testing algorithms for unmanned underwater vehicle (UUV) and unmanned surface vessel (USV) autonomy and perception before full field deployment. However, these simulations are often limited by the availability of simulated environments. Current marine robotics simulation suites offer manual ways to edit or create environments, but they require existing data or specialized knowledge of the environment system. To address these issues, we introduce a novel Unreal Engine 5 level generation pipeline that enables automatic creation of coastal environments for HoloOcean. Our pipeline relies on a user-provided overhead image of a coastal scene. The pipeline then uses the image to generate height map data, as well as automatically select assets and place them in the environment.
发表机构
- Brigham Young University（杨百翰大学）
机构由 AI 辅助整理，请以论文原文为准。
