AUV real-time acoustic vertical plane obstacle detection and avoidance

S. Karabchevsky, B. Braginsky, Hugo Guterman
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引用次数: 7

Abstract

Autonomous Underwater Vehicles (AUVs) operate in unknown underwater environments and take decisions based on sensor readings, without any link with a human operator. It is critical for the AUVs to be able to avoid submerged obstacles and to adapt to changes in the ocean floor terrain. A typical mission for an AUV is to inspect a given area using a side scan. It is crucial to maintain a straight line course during the inspection in order to ensure proper side scan sonar operation. This limits the obstacle avoidance to only the vertical plane. In this study, a real-time obstacle detection and avoidance algorithm that uses vertical plane oriented forward looking sonar is outlined. Experimental results that demonstrate the performance of the proposed method are presented.
水下航行器实时声垂直平面障碍物探测与避障
自主水下航行器(auv)在未知的水下环境中运行,并根据传感器读数做出决策,而无需与人类操作员进行任何联系。对于auv来说,能够避开水下障碍物和适应海底地形的变化是至关重要的。AUV的典型任务是使用侧面扫描检查给定区域。为了确保侧扫声纳正常工作,在检查过程中保持直线航向是至关重要的。这限制了避障只在垂直平面上。本文提出了一种基于垂直面向前视声纳的实时障碍物检测与避障算法。实验结果证明了该方法的有效性。
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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