dLITE：可微分的光照感知轨道检查轨迹评估
dLITE: Differentiable Lighting-Informed Trajectory Evaluation for On-Orbit Inspection
AI总结：
dLITE是一种全新的可微分模拟流水线，用于优化轨道检查轨迹以提高图像质量，为航天器任务规划提供创新方法。
摘要：
空间载荷的视觉检查日益受到航天器运营商的关注，他们希望通过规划维护、表征损坏和延长高价值卫星寿命。低地球轨道（LEO）环境在规划最大化可见性、信息和数据质量的检查任务时带来了独特的挑战。航天器本体的镜面反射、自身阴影和动态光照显著影响整个轨道内捕获的数据质量。这种影响被航天器之间的相对运动进一步加剧，导致检查过程中图像距离和姿态的变量性。利用模拟进行检查轨迹规划是常见的方法。然而，能够设计和优化检查轨迹以提高近距离操作中获得的图像质量的能力仍然鲜有探索。在本工作中，我们提出了$\partial$LITE，一个用于轨道检查操作的端到端可微分模拟流水线。我们利用最先进的可微分渲染工具和自定义轨道传播器，以实现基于视觉传感器数据的端到端轨道参数优化。$\partial$LITE使我们能够自动设计非显而易见的轨迹，大大提高了获得数据的质量和实用性。据我们所知，我们的可微分检查规划流水线是首创的，为现代计算方法在航天器任务规划中的应用提供了新的见解。项目页面：https://appearance-aware.github.io/dlite/
英文摘要：
Visual inspection of space-borne assets is of increasing interest to spacecraft operators looking to plan maintenance, characterise damage, and extend the life of high-value satellites in orbit. The environment of Low Earth Orbit (LEO) presents unique challenges when planning inspection operations that maximise visibility, information, and data quality. Specular reflection of sunlight from spacecraft bodies, self-shadowing, and dynamic lighting in LEO significantly impact the quality of data captured throughout an orbit. This is exacerbated by the relative motion between spacecraft, which introduces variable imaging distances and attitudes during inspection. Planning inspection trajectories with the aide of simulation is a common approach. However, the ability to design and optimise an inspection trajectory specifically to improve the resulting image quality in proximity operations remains largely unexplored. In this work, we present $\partial$LITE, an end-to-end differentiable simulation pipeline for on-orbit inspection operations. We leverage state-of-the-art differentiable rendering tools and a custom orbit propagator to enable end-to-end optimisation of orbital parameters based on visual sensor data. $\partial$LITE enables us to automatically design non-obvious trajectories, vastly improving the quality and usefulness of attained data. To our knowledge, our differentiable inspection-planning pipeline is the first of its kind and provides new insights into modern computational approaches to spacecraft mission planning. Project page: https://appearance-aware.github.io/dlite/
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
