Trajectory planning for motion-constrained AUVs in uncertain environments

Sarah E. Houts, S. Rock
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引用次数: 6

Abstract

Providing a series of images of a site over time with a survey-class AUV presents numerous challenges, particularly in the process of getting close to rugged terrain with a motion-constrained vehicle in an uncertain environment. To deal with this, a baseline approach presented in previous work by the authors plans spline-based trajectories based on an a priori map of the terrain, allowing for improved performance over purely reactive control schemes. This paper extends that approach to account for uncertainty in the environment, both in the knowledge of the terrain and the motion of the vehicle, providing additional robustness and safety, while minimizing the potential loss in performance. The trajectory optimization approach is demonstrated over simulated terrain.
不确定环境下运动受限auv的轨迹规划
随着时间的推移,使用测量级AUV提供一系列现场图像带来了许多挑战,特别是在不确定环境中使用运动受限的车辆接近崎岖地形的过程中。为了解决这个问题,作者在之前的工作中提出了一种基线方法,该方法基于地形的先验地图来规划基于样条的轨迹,从而提高了纯反应性控制方案的性能。本文将该方法扩展到考虑环境中的不确定性,包括地形知识和车辆运动,提供额外的鲁棒性和安全性,同时最大限度地减少潜在的性能损失。在模拟地形上对轨迹优化方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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