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Autonomous surface vehicle 3D seafloor reconstruction from monocular images and sonar data

CITE Title : Autonomous surface vehicle 3D seafloor reconstruction from monocular images and sonar data Personal Author(s) : Iscar, Eduardo;Johnson-Roberson, Matthew; Published Date : 2015 Source : Oceans DOI : https://doi.org/10.23919/OCEANS.2015.7404353 Journal Title : Oceans Iscar, Eduardo and Johnson-Roberson, Matthew (2015). Autonomous surface vehicle 3D seafloor reconstruction from monocular images and sonar data. https://doi.org/10.23919/OCEANS.2015.7404353 Iscar, Eduardo and Johnson-Roberson, Matthew "Autonomous surface vehicle 3D seafloor reconstruction from monocular images and sonar data" (2015), https://doi.org/10.23919/OCEANS.2015.7404353 Iscar, Eduardo and Johnson-Roberson, Matthew "Autonomous surface vehicle 3D seafloor reconstruction from monocular images and sonar data" , 2015, https://doi.org/10.23919/OCEANS.2015.7404353 Export RIS Citation Information.

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Iscar, Eduardo ;

Johnson-Roberson, Matthew

2015 | Oceans

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Traditionally seafloor surveys have been conducted with research vessels, divers or with an autonomous underwater vehicle (AUV) and are time consuming...
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images

CITE Title : WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images Personal Author(s) : Li, Jie;Skinner, Katherine A.;Eustice, Ryan M.;Johnson-Roberson, Matthew; Published Date : 2017 Source : IEEE Robotics and Automation Letters DOI : https://doi.org/10.1109/LRA.2017.2730363 Journal Title : IEEE Robotics and Automation Letters Li, Jie et al. (2017). WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images. https://doi.org/10.1109/LRA.2017.2730363 Li, Jie et al. "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images" (2017), https://doi.org/10.1109/LRA.2017.2730363 Li, Jie et al. "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images" , 2017, https://doi.org/10.1109/LRA.2017.2730363 Export RIS Citation Information.

:

Li, Jie ;

Skinner, Katherine A.

2017 | IEEE Robotics and Automation Letters

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This paper reports on WaterGAN, a generativeadversarial network (GAN) for generating realistic underwaterimages from in-air image and depth pairings i...