研究人员开发了EVIS，一个用于NVIDIA Isaac Sim的新插件，可以生成基于物理的事件相机数据。该工具通过在模拟器中创建高帧率、完全标记的事件流，解决了标记事件相机数据稀缺的问题。EVIS可以集成到现有的Isaac Sim/Isaac Lab场景中，并可以合成中间帧以实现实时生成，使数据可以直接用于训练基于事件的感知和控制网络。 AI
影响 通过提供合成的、标记的数据，能够更有效地训练机器人领域的基于事件的感知和控制系统。
排序理由 该集群描述了一个模拟环境的新插件，详细介绍在一篇arXiv论文中。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
Event cameras offer microsecond temporal resolution, low latency, and high dynamic range, making them attractive for robotics. However, labeled event-camera data for a specific robot and scene is scarce and expensive to collect, which slows the development of event-based percepti…
arXiv:2607.08098v1 Announce Type: new Abstract: Event cameras offer microsecond temporal resolution, low latency, and high dynamic range, making them attractive for robotics. However, labeled event-camera data for a specific robot and scene is scarce and expensive to collect, whi…
Event cameras offer microsecond temporal resolution, low latency, and high dynamic range, making them attractive for robotics. However, labeled event-camera data for a specific robot and scene is scarce and expensive to collect, which slows the development of event-based percepti…