Development of imaging sonar based autonomous trajectory backtracking using AUVs

Byeongjin Kim, Hyeonwoo Cho, Son-cheol Yu
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引用次数: 8

Abstract

We proposed an autonomous trajectory backtracking method using forward-looking imaging sonar. Additionally, we also dealt with a Fourier-based sonar image processing for the autonomous trajectory backtracking. We suggested an algorithm to estimate translational shifts and rotation angle between two sonar images. By feeding back the estimated data, AUV can compensate the drift error of dead-reckoning. To verify these algorithms, we used the field data obtained by the forward-looking imaging sonar of hovering-type AUV `Cyclops'. We verified accuracy and tolerance of the proposed algorithm by performing experiments.
基于成像声纳的水下机器人自主轨迹回溯研究
提出了一种基于前视成像声纳的自主轨迹回溯方法。此外,我们还处理了基于傅里叶的自主轨迹回溯声纳图像处理。提出了一种估计两幅声纳图像平移位移和旋转角度的算法。通过反馈估计数据,AUV可以补偿航位推算的漂移误差。为了验证这些算法,我们使用了悬停式“独眼”水下航行器的前视成像声纳获得的现场数据。通过实验验证了算法的精度和容差。
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