AUV-Related-Literature

Papers and other resources on underwater autonomous vehicles

Underwater Multi-Robot Convoying Using Visual Tracking by Detection - Shkurti, Henderson, Chang, Islam, et al. - IEEE IROS 2017 -dataset download link: http://www:cim:mcgill:ca/˜mrl/robot_tracking
Enhancing Underwater Imagery using Generative Adversarial Networks - Fabbri, Islam, Sattar - 2018 - code download link: https://github.com/cameronfabbri/Underwater-Color-Correction; pre-trained model: https://drive.google.com/file/d/1VOpQPHOGi3bYX2C-0AWzSfaJVUBHlacU/view, dataset: https://drive.google.com/a/up.edu.ph/uc?id=1LOM-2A1BSLaFjCY2EEK3DA2Lo37rNw-7&export=download

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
AUV		AUV
Image Processing		Image Processing
Object Detection		Object Detection
Reinforcement Learning		Reinforcement Learning
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments - Al-Shedivat, Bansal, Burda, Sutskever, Mordatch, Abbeel - ICLR 2018.pdf		Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments - Al-Shedivat, Bansal, Burda, Sutskever, Mordatch, Abbeel - ICLR 2018.pdf
Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadwos Identification - Martin-Abadal, Guerrero-Font, Bonin-Font, Gonzalez-Cid - 2018.pdf		Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadwos Identification - Martin-Abadal, Guerrero-Font, Bonin-Font, Gonzalez-Cid - 2018.pdf
Enhancing Underwater Imagery Using Generative Adversarial Networks - Fabbri, Islam, Sattar - 2018.pdf		Enhancing Underwater Imagery Using Generative Adversarial Networks - Fabbri, Islam, Sattar - 2018.pdf
README.md		README.md
Underwater Multi-Robot Convoying Using Visual Tracking by Detection - Shkurti, Henderson, Chang, Islam - IEEE IROS 2017.pdf		Underwater Multi-Robot Convoying Using Visual Tracking by Detection - Shkurti, Henderson, Chang, Islam - IEEE IROS 2017.pdf

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