2023
DOI: 10.1109/jsen.2023.3250721
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An Autonomous Underwater Vehicle Simulation With Fuzzy Sensor Fusion for Pipeline Inspection

Abstract: Underwater pipeline inspection is an important topic in off-shore subsea operations. ROVs (Remotely Operated Vehicles) can play an important role in multiple application areas including military, ocean science, aquaculture, shipping, and energy. However, using ROVs for inspection is not cost-effective, and the fixed leak detection sensors mounted along the pipeline have limited precision. Although the cost can be significantly reduced by applying AUVs (Autonomous Underwater Vehicles), the unstable current, low… Show more

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Cited by 9 publications
(5 citation statements)
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“…The robot can not only be controlled near by the handle (1), but also remotely by the remote console (2). The principle of remote control is to use intranet penetration technology, which requires a public IP address as a transit.…”
Section: Establishment Of System Structure Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The robot can not only be controlled near by the handle (1), but also remotely by the remote console (2). The principle of remote control is to use intranet penetration technology, which requires a public IP address as a transit.…”
Section: Establishment Of System Structure Modelmentioning
confidence: 99%
“…First of all, workers carry out the cleaning work at high altitude, the risk factor is extremely high, and often there are equipment failures or workers are injured. Secondly, due to labor shortages and inefficiency, it is sometimes difficult to achieve the desired cleaning effects, resulting in a prolonged stay of cargo ships in port, increasing freight costs [2].…”
Section: Introductionmentioning
confidence: 99%
“…7(a). Following the concepts of control algorithms, the shapes of the membership functions were comparable to the design adopted in [34]. Using the detected line number, the FIS rule base was defined in Table, 1.…”
Section: Fuzzy-adaptive Edge Detectionmentioning
confidence: 99%
“…The accuracy and resilience of underwater SLAM systems through sensor fusion techniques encompasses vision-inertial SLAM, laser-vision SLAM, and multisensor SLAM [37,38]. Multisensor fusion is classified into data layer, feature layer, and decision layer fusion [39,40]. Visual SLAM faces challenges with low-quality images, while IMU-assisted sensors improve To enhance the accuracy and robustness of underwater SLAM systems, researchers often combine multiple sensors, leveraging sensor fusion techniques.…”
Section: Multiple Sensor Integration In Slams Odometry: Strengths And...mentioning
confidence: 99%
“…However, challenges in visibility variations and obstacles require further refinement, suggesting potential enhancements through expanding the sensor fusion framework and integrating adaptive parameters in image processing. Future research directions include addressing dynamic surface wave effects through real-world experiments, with consideration given to a down-scaled AUV for pool testing [40]. Di Wang et al introduce a multisensor fusion method for underwater integrated navigation systems, focusing on SINS/DVL/USBL.…”
Section: Multiple Sensor Integration In Slams Odometry: Strengths And...mentioning
confidence: 99%