LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Name
2104.10831.pdf
Description
Accepted version
Size
2.36 MB
Format
Adobe PDF
Checksum (MD5)
78a6210f478cb57a28a4881e7216be8e
Author(s) • • •
Shan, Tixiao
Englot, Brendan
Ratti, Carlo
Rus, Daniela
Date Issued
2021
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
MIT 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
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICRA48506.2021.9561996