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Real time AUV pipeline detection and tracking using side scan sonar and multi-beam echo-sounder

机译:使用侧扫声纳和多波束回声测深仪进行实时AU​​V管线检测和跟踪

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Robust pipeline tracking is critical for AUV technology to succeed in the commercial sector. The paper presents two techniques for reliably detecting and tracking pipelines using multi-beam echo-sounder and side-scan sonar systems. Because of the specific nature of the problem, a lot of prior knowledge can be used. Our algorithms use a model-based Bayesian approach. They are both efficient and robust to variations of the model and noise. Results are shown on real data sets in both cases. The algorithms are compatible with real-time implementation.
机译:可靠的管道跟踪对于AUV技术在商业领域取得成功至关重要。本文提出了两种使用多波束回声测深仪和侧扫声纳系统可靠地检测和跟踪管道的技术。由于问题的特殊性质,可以使用许多先验知识。我们的算法使用基于模型的贝叶斯方法。它们对于模型和噪声的变化既高效又稳健。在两种情况下,结果均显示在真实数据集上。该算法与实时实现兼容。

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