水下机器人复杂曲面三维可视化路径重新规划方法的现场实验结果

Y. Sato, T. Maki, A. Kume, T. Matsuda, T. Sakamaki, T. Ura
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引用次数: 0

摘要

虽然auv可以在没有系绳电缆和人工控制的情况下观察海底,但操作人员无法实时确认是否存在因遮挡、定位错误等原因导致的未扫描区域。如果在后期处理中发现了未观察到的区域,则需要再次部署AUV来覆盖它们。为此,我们提出了一种水下航行器对粗糙地形的递归观测方法,以实现一次部署的高覆盖观测。在该方法中,AUV在完成预先规划的路径后评估未观察到的区域。之后,车辆会生成一条新的路径来覆盖它们。本文报道了2012年11月在日本骏河湾进行的海洋实验结果。在海底设置了一个人工目标。然后利用该方法对水下航行器Tri-TON进行目标观测。由于生成的路径集中在目标上,因此在实际海洋环境下验证了该方法的性能。此外,通过比较观测结果和地面真实值来评估制图精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Field experimental results of path re-planning method for an AUV to visualize complicated surface in 3D
Although AUVs can observe seafloor without tether cables nor human control, it is impossible for operators to confirm in real time that there are no unscanned areas caused by occlusions, positioning errors, and so on. If unobserved areas are found by post processing, another deployment of the AUV is necessary to cover them. Therefore, we have proposed a recursive observation method of rough terrain by an AUV to realize a high coverage observation at one deployment. In the method, the AUV evaluates unobserved regions after completing the preplanned path. After that, the vehicle generates a new path to cover them. This paper reports the results of sea experiments held at Suruga Bay in Japan, in November 2012. An artificial target was set up on the seafloor. Then the AUV Tri-TON observed the target based on the proposed method. As the generated path was concentrated on the target, the performance of the proposed method at the real sea environment was verified. In addition, mapping accuracy was evaluated by comparing the observational results and ground truth.
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