Sparse Gaussian process for online seagrass semantic mapping-Reference-Cited by-同舟云学术

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Sparse Gaussian process for online seagrass semantic mapping

Published:2021-05 Issue: Volume:170 Page:114478
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Guerrero-Font Eric,Bonin-Font Francisco,Martin-Abadal Miguel,Gonzalez-Cid Yolanda,Oliver-Codina Gabriel

Funder

Spanish Ministry of Economy and Competitiveness

Government of the Balearic Islands, Spain

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi,2015

2. From mechanical to chemical impact of anchoring in seagrasses: The premises of anthropogenic patch generation in posidonia oceanica meadows;Abadie;Marine Pollution Bulletin,2016

3. Seascape ecology in posidonia oceanica seagrass meadows: Linking structure and ecological processes for management;Abadie;Ecological Indicators,2018

4. Visual discrimination and large area mapping of posidonia oceanica using a lightweight AUV;Bonin-Font;IEEE Access,2017

5. Regression of mediterranean seagrasses caused by natural processes and anthropogenic disturbances and stress: a critical review;Boudouresque;Botanica Marina,2009

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2. Assessing benthic marine habitats colonized with posidonia oceanica using autonomous marine robots and deep learning: A Eurofleets campaign;Estuarine, Coastal and Shelf Science;2023-09

3. Semantic Mapping with Confidence Scores through Metric Embeddings and Gaussian Process Classification;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference;IEEE Access;2022

5. Path Planning for Underwater Information Gathering Based on Genetic Algorithms and Data Stochastic Models;Journal of Marine Science and Engineering;2021-10-27

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