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Your search keyword '"Carlone, Luca"' showing total 19 results
Start Over Author "Carlone, Luca" Publisher springer international publishing
19 results on '"Carlone, Luca"'

3. LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments

Author

Tagliabue, Andrea, Tordesillas, Jesus, Cai, Xiaoyi, Santamaria-Navarro, Angel, How, Jonathan P., Carlone, Luca, Agha-mohammadi, Ali-akbar, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Antonelli, Gianluca, Advisory Editor, Fox, Dieter, Advisory Editor, Harada, Kensuke, Advisory Editor, Hsieh, M. Ani, Advisory Editor, Kröger, Torsten, Advisory Editor, Kulic, Dana, Advisory Editor, Park, Jaeheung, Advisory Editor, and Laschi, Cecilia, editor

Published
2021
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4. A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group

Author

Rosen, David M., Carlone, Luca, Bandeira, Afonso S., Leonard, John J., Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Antonelli, Gianluca, Advisory Editor, Fox, Dieter, Advisory Editor, Harada, Kensuke, Advisory Editor, Hsieh, M. Ani, Advisory Editor, Kröger, Torsten, Advisory Editor, Kulic, Dana, Advisory Editor, Park, Jaeheung, Advisory Editor, Goldberg, Ken, editor, Abbeel, Pieter, editor, Bekris, Kostas, editor, and Miller, Lauren, editor

Published
2020
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5. Shonan Rotation Averaging: Global Optimality by Surfing

Author

Dellaert, Frank, Rosen, David M., Wu, Jing, Mahony, Robert, Carlone, Luca, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Vedaldi, Andrea, editor, Bischof, Horst, editor, Brox, Thomas, editor, and Frahm, Jan-Michael, editor

Published
2020
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11. Multi Robot Object-Based SLAM

Author

Choudhary, Siddharth, Carlone, Luca, Nieto, Carlos, Rogers, John, Liu, Zhen, Christensen, Henrik I., Dellaert, Frank, Siciliano, Bruno, Series editor, Khatib, Oussama, Series editor, Kulić, Dana, editor, Nakamura, Yoshihiko, editor, and Venture, Gentiane, editor

Published
2017
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18. Shonan Rotation Averaging: Global Optimality by Surfing SO(p) n

Author

Dellaert, Frank, Rosen, David Matthew, Wu, Jing, Mahony, Robert, Carlone, Luca, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Laboratory for Information and Decision Systems, and Massachusetts Institute of Technology. Department of Aeronautics and Astronautics

Abstract

© 2020, Springer Nature Switzerland AG. Shonan Rotation Averaging is a fast, simple, and elegant rotation averaging algorithm that is guaranteed to recover globally optimal solutions under mild assumptions on the measurement noise. Our method employs semidefinite relaxation in order to recover provably globally optimal solutions of the rotation averaging problem. In contrast to prior work, we show how to solve large-scale instances of these relaxations using manifold minimization on (only slightly) higher-dimensional rotation manifolds, re-using existing high-performance (but local) structure-from-motion pipelines. Our method thus preserves the speed and scalability of current SFM methods, while recovering globally optimal solutions.

Published
2020

19. Shonan Rotation Averaging: Global Optimality by Surfing SO(p) n

Author

Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Laboratory for Information and Decision Systems, Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Dellaert, Frank, Rosen, David Matthew, Wu, Jing, Mahony, Robert, Carlone, Luca, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Laboratory for Information and Decision Systems, Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Dellaert, Frank, Rosen, David Matthew, Wu, Jing, Mahony, Robert, and Carlone, Luca

Abstract

© 2020, Springer Nature Switzerland AG. Shonan Rotation Averaging is a fast, simple, and elegant rotation averaging algorithm that is guaranteed to recover globally optimal solutions under mild assumptions on the measurement noise. Our method employs semidefinite relaxation in order to recover provably globally optimal solutions of the rotation averaging problem. In contrast to prior work, we show how to solve large-scale instances of these relaxations using manifold minimization on (only slightly) higher-dimensional rotation manifolds, re-using existing high-performance (but local) structure-from-motion pipelines. Our method thus preserves the speed and scalability of current SFM methods, while recovering globally optimal solutions.

Published
2021

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