Inspection of Ship Hulls with Multiple UAVs: Exploiting Prior Information for Online Path Planning

Grippa, Pasquale; Renzaglia, Alessandro; Rochebois, Antoine; Schranz, Melanie; Simonin, Olivier

doi:10.1109/iros47612.2022.9981357

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…Traditional inspection methods can be time-consuming as surveyors need to manually inspect every area of a whole vessel. Conversely, drones can swiftly cover large areas of the vessel, providing high-quality data for analysis [87,88]. This significantly improves the efficiency of the inspection process.…”

Section: Vessel Inspectionsmentioning

confidence: 99%

“…(2) Automatic image recognition, measurement and real-time alerting of structural defects in hulls: Vision technology can play a crucial role in scanning the hull structure and accurately identifying locations of deformation, thereby improving the effectiveness of online inspection [88,138]. It is beneficial to develop advanced algorithms for automatic image recognition, precise measurements, and real-time alerting to enhance the efficiency and accuracy of detecting structural defects.…”

Section: Marine Navigationmentioning

confidence: 99%

“…(3) Autonomous tracking flight of drones inside cabins: Vision technology can facilitate smooth and practical tracking tasks within ship cabins, which remains challenging when searching for targets in confined areas. A future research agenda should be set to develop autonomous tracking capabilities of drones within cabins, as they can aid in significantly improving inspection efficiency and enable effective monitoring of specific areas [88].…”

Section: Marine Navigationmentioning

confidence: 99%

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Applications, Evolutions, and Challenges of Drones in Maritime Transport

Wang,

Zhou,

Xing

et al. 2023

JMSE

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The widespread interest in using drones in maritime transport has rapidly grown alongside the development of unmanned ships and drones. To stimulate growth and address the associated technical challenges, this paper systematically reviews the relevant research progress, classification, applications, technical challenges, and possible solutions related to the use of drones in the maritime sector. The findings provide an overview of the state of the art of the applications of drones in the maritime industry over the past 20 years and identify the existing problems and bottlenecks in this field. A new classification scheme is established based on their flight characteristics to aid in distinguishing drones’ applications in maritime transport. Further, this paper discusses the specific use cases and technical aspects of drones in maritime rescue, safety, navigation, environment, communication, and other aspects, providing in-depth guidance on the future development of different mainstream applications. Lastly, the challenges facing drones in these applications are identified, and the corresponding solutions are proposed to address them. This research offers pivotal insights and pertinent knowledge beneficial to various entities such as maritime regulatory bodies, shipping firms, academic institutions, and enterprises engaged in drone production. This paper makes new contributions in terms of the comprehensive analysis and discussion of the application of drones in maritime transport and the provision of guidance and support for promoting their further development and integration with intelligent transport.

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Section: Vessel Inspectionsmentioning

confidence: 99%

Section: Marine Navigationmentioning

confidence: 99%

Section: Marine Navigationmentioning

confidence: 99%

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Applications, Evolutions, and Challenges of Drones in Maritime Transport

Wang,

Zhou,

Xing

et al. 2023

JMSE

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“…DARP defines paths of nearly equal lengths for the robots, thus ensuring a near-perfect time efficiency. Its convergence speed (cubic in the size of the input), and its performances -near optimal, thus much better than the precedent standard, the optimized MSTC [8] -have made it a frequently used mCPP algorithm ( [12], [13], [14]).…”

Section: The Darp Algorithmmentioning

confidence: 99%

Multi-Robot Weighted Coverage Path Planning: a Solution based on the DARP Algorithm

Idir

Renzaglia

2022

2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)

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Covering a given area with a team of mobile robots in a minimum time is a well-studied problem with many real-world applications. A rarely studied subject, however, is the case of a weighted plane: due to the necessity of taking time-consuming measurements or having to traverse different kinds of terrains, the coverage time may vary over the environment and the path planning needs to be adapted accordingly. In this paper, we present an adapted version of a state-of-the-art mCPP (multi-robot coverage path planning) approach, the DARP algorithm, to make it suitable to deal with weighted environments.In particular, we propose several modifications to DARP that allow overcoming some of its limitations and, as a result, obtain an increased convergence rate and decreased convergence time with respect to the original version. Furthermore, as proved by extensive simulations, these improvements are also noticed in the unweighted version of the problem.

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Multimodal Data Collection System for UAV-based Precision Agriculture Applications

Raptis

Karatzinis

Krestenitis

et al. 2022

2022 Sixth IEEE International Conference on Robotic Computing (IRC)

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Inspection of Ship Hulls with Multiple UAVs: Exploiting Prior Information for Online Path Planning

Abstract: It is posted here for your personal use. Not for redistribution. The definitive Version of Record will be published in Proc. IEEE IROS 2022. DOI will follow as soon as possible.

Cited by 3 publications

References 19 publications

Applications, Evolutions, and Challenges of Drones in Maritime Transport

Applications, Evolutions, and Challenges of Drones in Maritime Transport

Multi-Robot Weighted Coverage Path Planning: a Solution based on the DARP Algorithm

Multimodal Data Collection System for UAV-based Precision Agriculture Applications

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