利用图像处理技术实时评估船舶碰撞风险

IF 4.3 2区 工程技术 Q1 ENGINEERING, OCEAN Applied Ocean Research Pub Date : 2024-09-25 DOI:10.1016/j.apor.2024.104241
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引用次数: 0

摘要

自动识别系统(AIS)数据质量差或遗漏可能导致对潜在航行风险的错误判断。因此,本研究提出了一种利用船载视频数据评估船舶碰撞风险的实时框架,以提高导航员的风险感知能力。首先,该框架同时采用了挤压-激发(SE)注意力机制和 K-means 算法,以增强多尺度船舶检测能力。采用 Deep-SORT 算法完成多船特征匹配。其次,根据船舶视觉特征提取结果,利用针孔成像原理测量两船之间的距离和速度。此外,还设计了船距-船速修正方法,以提高估算结果的可靠性。最后,利用 "荷花海 "轮的自然驾驶数据验证了该框架的有效性。结果表明,所提出的框架在利用船载视频数据评估船舶碰撞风险方面表现出色。所提出的框架有助于精确检测潜在的船舶碰撞风险并及时发出警告。这有助于防止对海洋和海岸构成威胁的灾难性事故,尤其是在 AIS 数据证明不可靠或无效的情况下。
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Real-time assessment of ship collision risk using image processing techniques
The poor quality or the miss of Automatic Identification System (AIS) data may cause erroneous judgement of the potential navigational risk. Therefore, this study proposes a real-time framework for assessing ship collision risk using onboard video data in order to improve the risk perception ability of navigators. Firstly, the Squeeze-and-Excitation (SE) attention mechanism and the K-means algorithm are simultaneously utilized for the framework to enhance the multi-scale ship detection capability. The Deep-SORT is employed to complete multi-ship feature matching. Secondly, the distances between two ships and their speeds are measured using the pinhole imaging principle based on the ship visual feature extraction results. Moreover, the ship distance-speed correction method is designed to improve the reliability of estimated results. Finally, the effectiveness of the framework is validated using naturalistic driving data from the “He Hua Hai” ship. The results show that the proposed framework could demonstrate an excellent performance in assessing ship collision risk using the onboard video data. The proposed framework could help precisely detect and promptly provide warnings about potential ship collision risks. This could help prevent catastrophic accidents that pose a threat to oceans and coasts, particularly in situations when AIS data proves to be unreliable or ineffective.
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来源期刊
Applied Ocean Research
Applied Ocean Research 地学-工程:大洋
CiteScore
8.70
自引率
7.00%
发文量
316
审稿时长
59 days
期刊介绍: The aim of Applied Ocean Research is to encourage the submission of papers that advance the state of knowledge in a range of topics relevant to ocean engineering.
期刊最新文献
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