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English(EN) Navigational Safety of Marine Surface Vehicles in Restricted Visibility: From Intelligent Vision to Vision-Centered Multi-Sensor Fusion

视觉传感器融合增强船舶航行安全

本文回顾了近海水面航行器航行安全方面的进展,重点介绍了智能视觉和多传感器融合技术如何在低能见度下增强态势感知能力。文章涵盖了图像质量提升、目标检测和跟踪方法,以及雷达、激光雷达和AIS等传感器数据的集成。此外,文章还讨论了可用的数据集和智能船舶导航的未来研究方向。 AI

影响 增强了对人工智能在海事安全和自主导航系统中的应用的理解。

排序理由 该条目是一篇学术论文,详细介绍了用于船舶导航的传感器融合研究。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

视觉传感器融合增强船舶航行安全

本文如何被排名

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26 / 100
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该条目是一篇学术论文,详细介绍了用于船舶导航的传感器融合研究。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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High
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Breaking (< 6h)
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ryan Wen Liu, Fengchuan Song, Tianxiang Wang, Guobei Peng, Youngrong Kim, Xian Zhong, Hooi-Siang Kang, Maohan Liang, Junzhi Yu, Shanliang Yao ·

    受限能见度下海洋水面航行器的航行安全:从智能视觉到以视觉为中心的传感器融合

    arXiv:2611.05818v1 Announce Type: new Abstract: Marine surface vehicles (MSVs) have attracted considerable attention for their commercial, scientific, and military applications. Owing to their favorable performance-to-cost ratio, shipboard cameras are widely used to detect and re…