MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping

Author(s)
Reinke, Andrzej; Palieri, Matteo; Morrell, Benjamin; Chang, Yun; Ebadi, Kamak; Carlone, Luca; Agha-Mohammadi, Ali-Akbar; ... Show more Show less
Thumbnail
DownloadAccepted version (7.738Mb)
Open Access Policy

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Date issued
2022-10
URI
https://hdl.handle.net/1721.1/145303
Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Journal
IEEE Robotics and Automation Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Reinke, Andrzej, Palieri, Matteo, Morrell, Benjamin, Chang, Yun, Ebadi, Kamak et al. 2022. "LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping." IEEE Robotics and Automation Letters, 7 (4).
Version: Author's final manuscript

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.