Sparse optimization for robust and efficient loop closing
It is essential for a robot to be able to detect revisits or loop closures for long-term visual navigation. A key insight explored in this work is that the loop-closing event inherently occurs sparsely, i.e., the image currently being taken matches with only a small subset (if any) of previous image...
Main Authors: | Latif, Yasir, Huang, Guoquan, Leonard, John Joseph, Neira, José |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2020
|
Online Access: | https://hdl.handle.net/1721.1/124489 |
Similar Items
-
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age
by: Cadena, Cesar, et al.
Published: (2017) -
Closed-loop auditory-based representation for robust speech recognition
by: Lee, Chia-ying (Chia-ying Jackie)
Published: (2010) -
Optimizing Trajectories with Closed-Loop Dynamic SQP
by: Singh, Sumeet, et al.
Published: (2024) -
An incremental trust-region method for Robust online sparse least-squares estimation
by: Rosen, David Matthew, et al.
Published: (2013) -
RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation
by: Kaess, Michael, et al.
Published: (2015)