LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

Author(s)
Shan, Tixiao; Englot, Brendan; Ratti, Carlo; Rus, Daniela
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Date issued
2021
URI
https://hdl.handle.net/1721.1/144047
Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
2021 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Shan, Tixiao, Englot, Brendan, Ratti, Carlo and Rus, Daniela. 2021. "LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping." 2021 IEEE International Conference on Robotics and Automation (ICRA).
Version: Author's final manuscript
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