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基于自动多波束瓦片匹配的自主水下航行器导航校正

AUV Navigation Correction Based on Automated Multibeam Tile Matching.

作者信息

Mohrmann Jochen, Greinert Jens

机构信息

DeepSea Monitoring/Marine Geosystems, GEOMAR Helmholtz Centre for Ocean Research Kiel, 24148 Kiel, Germany.

Institute of Geosciences, Christian-Albrechts University Kiel, Ludewig-Meyn-Str. 10-12, 24098 Kiel, Germany.

出版信息

Sensors (Basel). 2022 Jan 26;22(3):954. doi: 10.3390/s22030954.

Abstract

Ocean science and hydroacoustic seafloor mapping rely on accurate navigation underwater. By exploiting terrain information provided by a multibeam echosounder system, it is possible to significantly improve map quality. This article presents an algorithm capable of improving map quality and accuracy by aligning consecutive pings to tiles that are matched pairwise. A globally consistent solution is calculated from these matches. The proposed method has the potential to be used online in addition to other navigation solutions, but is mainly targeted for post processing. The algorithm was tested using different parameter settings on an AUV and a ship-based dataset. The ship-based dataset is publicly available as a benchmark. The original accurate navigation serving as a ground truth, alongside trajectories that include an artificial drift, are available. This allows quantitative comparisons between algorithms and parameter settings.

摘要

海洋科学和水声海底测绘依赖于水下精确导航。通过利用多波束回声测深系统提供的地形信息,可以显著提高地图质量。本文提出了一种算法,该算法能够通过将连续的探测信号与成对匹配的瓦片对齐来提高地图质量和精度。从这些匹配中计算出全局一致的解决方案。除了其他导航解决方案外,该方法还具有在线使用的潜力,但主要针对后处理。该算法在一个自主水下航行器(AUV)和一个基于船舶的数据集上使用不同的参数设置进行了测试。基于船舶的数据集作为基准公开可用。原始的精确导航作为地面真值,以及包含人为漂移的轨迹都可用。这允许对算法和参数设置进行定量比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c32a/8840710/d9526cf07b68/sensors-22-00954-g001.jpg

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