Miquel Massot-Campos

About Miquel Massot-Campos

Miquel Massot-Campos, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of Underwater Robotics, Computer Vision, Visual Odometry, 3D Reconstruction, Localization and Mapping.

His recent articles reflect a diverse array of research interests and contributions to the field:

Leveraging spatial metadata in machine learning for improved objective quantification of geological drill core

Improving coral monitoring by reducing variability and bias in cover estimates from seabed images

Report on the Marine Imaging Workshop 2022

Shallow Water Seagrass Survey at Studland Bay with the AUV Smarty200

Towards sensor agnostic artificial intelligence for underwater imagery

Assessing benthic marine habitats colonized with posidonia oceanica using autonomous marine robots and deep learning: A Eurofleets campaign

Modelling our way out of a featureless correspondence problem for automatic calibration of laser stripe mapping systems

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

Miquel Massot-Campos Information

University

Position

___

Citations(all)

1165

Citations(since 2020)

747

Cited By

723

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Miquel Massot-Campos Skills & Research Interests

Underwater Robotics

Computer Vision

Visual Odometry

3D Reconstruction

Localization and Mapping

Top articles of Miquel Massot-Campos

Title

Journal

Author(s)

Publication Date

Leveraging spatial metadata in machine learning for improved objective quantification of geological drill core

Earth and Space Science

Lewis JC Grant

Miquel Massot‐Campos

Rosalind M Coggon

Blair Thornton

Francesca C Rotondo

...

2024/3

Improving coral monitoring by reducing variability and bias in cover estimates from seabed images

Progress in Oceanography

Emma J Curtis

Jennifer M Durden

Brian J Bett

Veerle AI Huvenne

Nils Piechaud

...

2024/2/6

Report on the Marine Imaging Workshop 2022

Research Ideas and Outcomes

Catherine Borremans

Jennifer Durden

Timm Schoening

Emma Curtis

Luther Adams

...

2024/3/18

Shallow Water Seagrass Survey at Studland Bay with the AUV Smarty200

Miquel Massot-Campos

Takaki Yamada

Bronwyn Walker-Rouse

Ken Collins

Julian Leyland

...

2023/3/6

Towards sensor agnostic artificial intelligence for underwater imagery

Miguel Massot Campos

Takaki Yamada

Blair Thornton

2023/3/6

Assessing benthic marine habitats colonized with posidonia oceanica using autonomous marine robots and deep learning: A Eurofleets campaign

Estuarine, Coastal and Shelf Science

Miquel Massot-Campos

Francisco Bonin-Font

Eric Guerrero-Font

Antoni Martorell-Torres

Miguel Martin Abadal

...

2023/9/30

Modelling our way out of a featureless correspondence problem for automatic calibration of laser stripe mapping systems

David Stanley

Adrian Bodenmann

Miquel Massot-Campos

Blair Thornton

2023/3/6

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

Adrian Bodenmann

José Cappelletto

Miquel Massot-Campos

Darryl Newborough

Ed Chaney

...

2023/3/6

Passive pre-tensioning of buoyancy engines for fail-safe and energy efficient depth control

Harry Redfern

Guy Denton

Miquel Massot-Campos

Blair Thornton

2022/10/17

Visualizing multi-hectare seafloor habitats with BioCam

Blair Thornton

Adrian Bodenmann

Takaki Yamada

David Stanley

Miquel Massot-Campos

...

2022/1/7

Guiding labelling effort for efficient learning with georeferenced images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Takaki Yamada

Miguel Massot Campos

Adam Prugel-Bennett

Oscar Pizarro

Stefan B Williams

...

2022/1/4

Autonomous Identification of Suitable Geotechnical Measurement Locations using Underwater Vehicles

Jose Cappelletto

Blair Thornton

Adrian Bodenmann

Takaki Yamada

Miquel Massot-Campos

...

2021/9/20

Development of a passive drifting seafloor imaging float with hybrid altitude and illumination control for increased survey endurance

Miquel Massot-Campos

Andrew Borg

Jonathan Boschen-Rose

Blair Thornton

2021/9/20

Auto-calibration of line-laser structured-light seafloor mapping systems

David Stanley

Adrian Bodenmann

Miquel Massot-Campos

Blair Thornton

2021/9/20

Leveraging metadata in representation learning with georeferenced seafloor imagery

IEEE Robotics and Automation Letters

Takaki Yamada

Miquel Massot-Campos

Adam Prügel-Bennett

Stefan B Williams

Oscar Pizarro

...

2021/8/4

Metadata enhanced feature learning for efficient interpretation of AUV gathered seafloor visual imagery

Takaki Yamada

Miguel Massot Campos

Emma Curtis

Oscar Pizarro

Stefan B Williams

...

2021/5/5

Deployment Strategies for Representative Surveys using Passive Drifting Seafloor Imaging Floats

Qiuchang Yang

Miquel Massot-Campos

Subhra K. Das

Blair Thornton

Oscar Pizarro

2020/9/30

Development of a passively pre-tensioned buoyancy engine for fail-safe underwater vehicle operation

Callum Rolfe

Blair Thomton

Miquel Massot-Campos

2020/9/30

A featureless approach to improve self-consistency in structured light bathymetry

David Stanley

Adrian Bodenmann

Miquel Massot-Campos

Blair Thornton

2020/9/30

See List of Professors in Miquel Massot-Campos University(University of Southampton)

Co-Authors

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