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Marine vehicle navigation safety enhanced by vision-sensor fusion

This paper reviews advancements in navigational safety for marine surface vehicles, focusing on how intelligent vision and multi-sensor fusion techniques enhance situational awareness in restricted visibility. It covers methods for improving image quality, object detection, and tracking, as well as integrating data from sensors like radar, LiDAR, and AIS. The article also discusses available datasets and future research directions in intelligent ship navigation. AI

IMPACT Enhances understanding of AI applications in maritime safety and autonomous navigation systems.

RANK_REASON The item is an academic paper detailing research on sensor fusion for marine vehicle navigation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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Marine vehicle navigation safety enhanced by vision-sensor fusion

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27 / 100
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The item is an academic paper detailing research on sensor fusion for marine vehicle navigation. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, other
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COVERAGE [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 ·

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

    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…