Unmanned Surface Vehicles for automatic bathymetry mapping and shores' maintenance

Bibuli, Marco; Bruzzone, Ga.; Caccia, Massimo; Fumagalli, E.; Saggini, Eleonora; Zereik, Enrica; Buttaro, E.; Caporale, Ciro; Ivaldi, Roberta

doi:10.1109/oceans-taipei.2014.6964440

Cited by 16 publications

(5 citation statements)

References 10 publications

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“…The processes, whether natural or artificial, promote sand transportation (erosion, transportation, and sediment deposition) and alter seabed morphology, both of which have important roles in the dynamic behavior of coastal areas [7]. Consequently, the monitoring of offshore zones is also required for the analysis and projection of coastal dynamics and environmental change [6,8]. Bathymetry is one of the key factors used by scientists, hydrographers, and decision-makers operating in coastal zones.…”

Section: Introductionmentioning

confidence: 99%

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

Muzirafuti

Barreca

Crupi

et al. 2020

JMSE

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The results of absolute satellite-derived bathymetry (SDB) are presented in the current study. A comparative analysis was conducted on empirical methods in order to explore the potential of SDB in shallow water on the coast of Misano, Italy. Operations were carried out by relying on limited in situ water depth data to extract and calibrate bathymetry from a QuickBird satellite image acquired on a highly dynamic coastal environment. The image was processed using the log-band ratio and optimal band ratio analysis (OBRA) methods. Preprocessing steps included the conversion of the raw satellite image into top of atmosphere reflectance, spatial filtering, land and water classification, the determination of the optimal OBRA spectral band pairs, and the estimation of relative SDB. Furthermore, calibration and vertical referencing were performed via in situ bathymetry acquired in November 2007. The relative bathymetry obtained from different band ratios were vertically referenced to the local datum using in situ water depth in order to obtain absolute SDB. The coefficient of determination (R2) and vertical root mean square error (RMSE) were computed for each method. A strong correlation with in situ field bathymetry was observed for both methods, with R2 = 0.8682 and RMSE = 0.518 m for the log-band ratio method and R2 = 0.8927–0.9108 and RMSE = 0.35 m for the OBRA method. This indicated a high degree of confidence of the SDB results obtained for the study area, with a high performance of the OBRA method for SDB mapping in turbid water.

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Section: Introductionmentioning

confidence: 99%

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

Muzirafuti

Barreca

Crupi

et al. 2020

JMSE

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“…ASV is very dependent on route planning because ASV has an autonomous feature where ASV can run without user control, so choosing the path to be passed by ASV is very important. Many researchers focused on route planning methods, among them are studies on the comparison of Rapidly exploring Random Tree (RRT), RRT* [23], Greedy and Dijkstra [24], and A* [25].…”

Section: Research Methods 21 Related Workmentioning

confidence: 99%

Experiment of Path Planning Using Multi-way Points with A* Algorithm for Autonomous Surface Vehicle

Erfianto

Adrianne

Arif

2021

KINETIK

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Commonly, surveillance activities on lake waters is mostly carried out by using a surface vehicle as special-designed vehicle, especially to conduct water quality measurements, underwater surveys, and bathymetry mapping. However, conventional survey and monitoring still involves humans on the site. If a survey is conducted during strong wind conditions, it could jeopardize surveyor’s safety. Therefore, a vehicle must have several criteria, e.g., it must be pretty spacious and comfortable to carry surveyors, free from engine vibrations, stabilized and easy to maneuver, and the surveyor's safety can be guaranteed. This paper discusses preliminary research aiming to develop an Autonomous Raft Vehicle (ARV), a type of autonomous unmanned surface vehicle. The ARV is equipped with autonomous control based on multi-way-points with an A* algorithm. Thus, a user only requires giving a command once initially during path planning. A* algorithm over multi-way-point could improve ARV navigation when there are obstacles along the predetermined trajectory. Hence the predetermined trajectory will be maintained throughout the mission. It is a significant contribution to this paper.

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“…The WAM-V deployed a multibeam echosounder and tested the maneuverability requirements of multibeam surveying needs for swath coverage in shallow waters. Indeed, ultra-shallow areas may be inaccessible and even impossible to operate traditional piloted hydrographic survey vessels, providing a niche for specialized sASV and autonomous techniques [45]. Shallow waters, generally, are a suitable frontier for ASV applications.…”

Section: Small Autonomous Surface Vessels (Sasvs)mentioning

confidence: 99%

Advancing Estuarine Shoreline Change Analysis Using Small Uncrewed Autonomous Systems

R. Allen,

Eulie,

Polk

et al. 2023

Estuary Research - Recent Advances [Working Title]

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Estuarine shorelines face the threats of accelerating sea-level rise, recurrent storms, and disruptions of natural sediment and ecological adjustments owing to historic human interventions. The growing availability and technical capability of uncrewed systems (UxS), including remote or autonomous aerial and surface vessels, provide new opportunities to study and understand estuarine shoreline changes. This chapter assesses the state of the technology, interdisciplinary science and engineering literature, and presents case studies from the Chesapeake Bay, Virginia, and coastal North Carolina, USA, that demonstrate new insights into coastal geomorphic processes and applications to managing complex and dynamic estuarine shorelines. These technologies enhance the collection of geospatial environmental data, coastal monitoring, reduce spatial uncertainty, and support measurement of alongshore and onshore/offshore sediment fluxes. Case studies in this chapter highlight scientific insights such as shoreline responses to sea-level rise as well as the practical value of these technologies to develop adaptive management solutions such as living shorelines and nature-based features.

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Unmanned Surface Vehicles for automatic bathymetry mapping and shores' maintenance

Cited by 16 publications

References 10 publications

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

Experiment of Path Planning Using Multi-way Points with A* Algorithm for Autonomous Surface Vehicle

Advancing Estuarine Shoreline Change Analysis Using Small Uncrewed Autonomous Systems

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