LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping
Name
2205.11784.pdf
Description
Accepted version
Size
7.74 MB
Format
Adobe PDF
Checksum (MD5)
95acf067a688f944f6e22078dcbdded1
Author(s)
Reinke, Andrzej
Palieri, Matteo
Morrell, Benjamin
Chang, Yun
Ebadi, Kamak
Carlone, Luca
Agha-Mohammadi, Ali-Akbar
Date Issued
October 2022
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
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/lra.2022.3181357
