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English(EN) Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links

人工智能助力AUV海底图像海量数据缩减传输

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种新颖的、由人工智能驱动的方法，可以显著减少自主水下航行器（AUV）收集的海底图像数据量。该技术仅识别并传输最具代表性的图像或与查询相似的图像，从而在低带宽通信链路下实现操作员的实时感知。在英国和格兰加纳利进行的现场测试表明，数据量减少了近40万倍，使得一次长期的测绘任务的摘要能够在短短34分钟多一点的时间内传输完毕。 AI

影响 该方法可以显著提高水下探索和研究任务的数据收集效率和实时监测能力。

排序理由 该集群包含一篇详细介绍数据压缩和传输新的人工智能方法的学术论文。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

人工智能助力AUV海底图像海量数据缩减传输

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该集群包含一篇详细介绍数据压缩和传输新的人工智能方法的学术论文。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Adrian Bodenmann, Cailei Liang, Miquel Massot-Campos, Samuel Simmons, Alexander B. Phillips, Alberto Consensi, Matthew Kingsland, Rashiid Sherif, Stan Brown, Adam Riese, Blair Thornton ·

    通过低带宽通信链路对AUV收集的海底图像进行远程感知

    arXiv:2607.18013v1 Announce Type: cross Abstract: This paper introduces a method for real-time processing and transmission of autonomous underwater vehicle (AUV) imagery over low-bandwidth communication links. It leverages artificial intelligence (AI) techniques to identify a set…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Blair Thornton ·

    通过低带宽通信链路对AUV收集的海底图像进行远程感知

    This paper introduces a method for real-time processing and transmission of autonomous underwater vehicle (AUV) imagery over low-bandwidth communication links. It leverages artificial intelligence (AI) techniques to identify a set of images that best represent an entire dataset, …

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