arXiv:2409.04633cs.ROcs.CV2024-09被引 4

为火星复杂地形设计新型里程计,解决无视觉激励下的尺度漂移问题。

Structure-Invariant Range-Visual-Inertial Odometry

  • 融合测距、视觉与惯性数据,突破平面地形假设限制。
  • 在模拟火星地形下实现符合任务要求的相对速度估计。
  • 适用于非平坦地形,适合火星探测等极端环境应用。

火星科学直升机(MSH)任务旨在将新一代无人直升机部署于火星,目标着陆区为瓦勒斯·马里纳里斯等高度变化达8000米的复杂崎岖地形。与依赖平面地形假设的火星2020任务不同,MSH需应对严峻地形挑战。本文提出一种专为该任务设计的结构不变范围-视觉-惯性里程计系统。通过扩展最先进的xVIO框架,融合一致的测距信息与视觉、惯性测量,有效防止在缺乏视觉-惯性激励(如单目相机+匀速下降)时的度量尺度漂移,实现任意地形结构上的精准定位,无需平面假设。基于实际火星轨道获取的地形结构与纹理进行图像仿真测试,结果表明该范围-VIO方法可满足任务对地形相对速度估计的严苛要求,并优于现有方法。

原文摘要 · Abstract (English)

The Mars Science Helicopter (MSH) mission aims to deploy the next generation of unmanned helicopters on Mars, targeting landing sites in highly irregular terrain such as Valles Marineris, the largest canyons in the Solar system with elevation variances of up to 8000 meters. Unlike its predecessor, the Mars 2020 mission, which relied on a state estimation system assuming planar terrain, MSH requires a novel approach due to the complex topography of the landing site. This work introduces a novel range-visual-inertial odometry system tailored for the unique challenges of the MSH mission. Our system extends the state-of-the-art xVIO framework by fusing consistent range information with visual and inertial measurements, preventing metric scale drift in the absence of visual-inertial excitation (mono camera and constant velocity descent), and enabling landing on any terrain structure, without requiring any planar terrain assumption. Through extensive testing in image-based simulations using actual terrain structure and textures collected in Mars orbit, we demonstrate that our range-VIO approach estimates terrain-relative velocity meeting the stringent mission requirements, and outperforming existing methods.

里程计火星探测多传感器融合

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