Study on the Risk Model of the Intelligent Ship Navigation

Luo, Jianan; Geng, Xiongfei; Li, Yabin; Yu, Qiaochan

doi:10.1155/2022/3437255

Cited by 4 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In that same year, the Korean government initiated the Korean Autonomous Surface Ship (KASS) Project, aiming to take the lead in intelligent ship research [5]. China has also demonstrated great interest in researching intelligent ships and successfully tested the unmanned vessel “ZHI FEI” in 2022 [6].…”

Section: Introductionmentioning

confidence: 99%

A review of intelligent ship marine object detection based on RGB camera

Yang,

Solihin,

Zhao

et al. 2023

IET Image Processing

View full text Add to dashboard Cite

The article presents a comprehensive summary of Intelligent Ship Marine Object Detection (ISMOD) based on the RGB Camera. Marine object detection plays a pivotal role in enabling intelligent ships to acquire crucial data and security assurances for autonomous navigation. Among the various detection sensors, the RGB Camera is an informative and cost‐effective tool with a wide range of civil applications. In the beginning, the ISMOD metrics based on the RGB camera is analyzed from three significant aspects, namely accuracy, speed, and robustness. Subsequently, the latest research status and comparative overview are presented, encompassing three mainstream detection methods: traditional detection, deep learning detection, and sensor fusion detection. Finally, the existing challenges of ISMOD are discussed and future development trends are recommended. The results demonstrate that forthcoming development will predominantly concentrate on deep learning approaches, complemented by other techniques. It is imperative to advance detection performance in domains such as deep fusion, multi‐feature extraction, multi‐fusion technology, and lightweight detection architecture.

show abstract

Section: Introductionmentioning

confidence: 99%