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:

Report on the Marine Imaging Workshop 2022

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

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

Shallow Water Seagrass Survey at Studland Bay with the AUV Smarty200

Towards sensor agnostic artificial intelligence for underwater imagery

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

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

Earth and Space Science

2024/3

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

Progress in Oceanography

2024/2/6

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

Estuarine, Coastal and Shelf Science

2023/9/30

Miquel Massot-Campos
Miquel Massot-Campos

H-Index: 13

Blair Thornton
Blair Thornton

H-Index: 17

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

2023/3/6

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

2023/3/6

Shallow Water Seagrass Survey at Studland Bay with the AUV Smarty200

2023/3/6

Towards sensor agnostic artificial intelligence for underwater imagery

2023/3/6

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

2022/10/17

Miquel Massot-Campos
Miquel Massot-Campos

H-Index: 13

Blair Thornton
Blair Thornton

H-Index: 17

Visualizing multi-hectare seafloor habitats with BioCam

2022/1/7

Guiding labelling effort for efficient learning with georeferenced images

IEEE Transactions on Pattern Analysis and Machine Intelligence

2022/1/4

Autonomous Identification of Suitable Geotechnical Measurement Locations using Underwater Vehicles

2021/9/20

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

2021/9/20

Miquel Massot-Campos
Miquel Massot-Campos

H-Index: 13

Blair Thornton
Blair Thornton

H-Index: 17

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

2021/9/20

Leveraging metadata in representation learning with georeferenced seafloor imagery

IEEE Robotics and Automation Letters

2021/8/4

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

2021/5/5

Deployment Strategies for Representative Surveys using Passive Drifting Seafloor Imaging Floats

2020/9/30

Miquel Massot-Campos
Miquel Massot-Campos

H-Index: 13

Blair Thornton
Blair Thornton

H-Index: 17

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

2020/9/30

Miquel Massot-Campos
Miquel Massot-Campos

H-Index: 13

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

2020/9/30

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

Co-Authors

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