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Countering drift in Visual Odometry for planetary rovers by registering boulders in ground and orbital images

机译:通过在地面和轨道图像中注册巨石来防止行星里程表的视觉里程表中的漂移

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Visual Odometry (VO) is a proven technology for planetary exploration rovers, facilitating their localization with a small error over medium-sized trajectories. However, due to VO's incremental mode of operation, its estimation error accumulates over time, resulting in considerable drift for long trajectories. This paper proposes a global localization method that counters VO drift by matching boulders extracted from overhead and ground images and using them periodically to relocalize the rover and refine VO estimates. The performance of the proposed method is evaluated with the aid of overhead imagery of different resolutions. Experimental results demonstrate that a very terse representation, consisting of approximate boulder locations only, suffices for significantly improving the accuracy of VO over long traverses.
机译:视觉里程表(VO)是行星探测漫游器的一项成熟技术,它可以在中等大小的轨迹上以很小的误差促进其定位。但是,由于VO的递增操作模式,其估计误差会随着时间累积,从而导致长轨迹发生相当大的漂移。本文提出了一种全局定位方法,该方法可通过匹配从上方和地面图像提取的巨石并定期使用它们来对流动站进行重新定位和优化VO估算来应对VO漂移。借助于不同分辨率的开销图像评估了所提出方法的性能。实验结果表明,仅由近似的巨石位置组成的非常简洁的表示足以显着提高长距离遍历时VO的精度。

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