SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss
Name
paper (1).pdf
Description
Accepted version
Size
66.51 MB
Format
Adobe PDF
Checksum (MD5)
5a035ca55bd460f29ad9ea3de13f4c4e
Author(s)
Liu, Zhijian
Tang, Haotian
Zhu, Sibo
Han, Song
Date Issued
September 27, 2021
Journal
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publisher
IEEE
Citation
Liu, Zhijian, Tang, Haotian, Zhu, Sibo and Han, Song. 2021. "SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss." 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Version
Author's final manuscript
MIT Department
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/iros51168.2021.9635964
