High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys

Bodenmann, Adrian; Cappelletto, José; Massot-Campos, Miquel; Newborough, Darryl; Chaney, Ed; Marlow, Rachel; Templeton, Robert; Phillips, Alexander B.; Bett, Brian J.; Wardell, Catherine; Thornton, Blair

doi:10.1109/ut49729.2023.10103421

2023 IEEE Underwater Technology (UT) 2023

DOI: 10.1109/ut49729.2023.10103421

|View full text |Cite

High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys

Adrian Bodenmann

José Cappelletto

Miquel Massot-Campos

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is anticipated that through collaborative interactions among AUVs, efficient marine surveys can be conducted. There have been successful instances where AUVs conducted wide-ranging underwater optical imaging without direct support from a ship (Bodenmann et al, 2023). In this research, a long-range capable AUV and satellite communication are utilized to successfully accomplish extended missions without the need for close human supervision or support.…”

mentioning

confidence: 99%

Guidance method of underwater vehicle for rugged seafloor observation in close proximity

Noguchi,

Sekimori,

Maki

2023

Journal of Field Robotics

View full text Add to dashboard Cite

Obtaining detailed information about the ocean through seafloor optical imaging is crucial, yet poses significant challenges due to the high attenuation of light, which necessitates the camera to be positioned within several meters of the seafloor. This paper proposes a method for an autonomous underwater vehicle (AUV) to track the seafloor at a close range suitable for optical survey. Through the probabilistic processing of measurements from a mechanical scanning imaging sonar, the AUV can safely follow the seafloor, even in the presence of large obstacles or overhanging geometries. The method was implemented on the low‐cost AUV, HATTORI, and its effectiveness was confirmed by sea experiments around Nishinoshima island, an uninhabited volcanic island located about 1000 km south of Tokyo, Japan. Detailed images of the rugged seafloor were successfully captured under the challenging condition of strong currents.

show abstract

mentioning

confidence: 99%

Guidance method of underwater vehicle for rugged seafloor observation in close proximity

Noguchi,

Sekimori,

Maki

2023

Journal of Field Robotics

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

High-resolution visual seafloor mapping and classification using long range capable AUV for ship-free benthic surveys

Cited by 1 publication

References 13 publications

Guidance method of underwater vehicle for rugged seafloor observation in close proximity

Guidance method of underwater vehicle for rugged seafloor observation in close proximity

Contact Info

Product

Resources

About