Real-Time Dense Visual SLAM with Neural Factor Representation
Author:
Affiliation:
1. School of Information Engineering, Nanchang University, Nanchang 330031, China
2. School of Software, Nanchang University, Nanchang 330031, China
3. School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
MDPI AG
Link
https://www.mdpi.com/2079-9292/13/16/3332/pdf
Reference33 articles.
1. ORB-SLAM: A versatile and accurate monocular SLAM system;Montiel;IEEE Trans. Robot.,2015
2. Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras;IEEE Trans. Robot.,2017
3. Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam;Campos;IEEE Trans. Robot.,2021
4. Nerf: Representing scenes as neural radiance fields for view synthesis;Mildenhall;Commun. ACM,2021
5. Sucar, E., Liu, S., Ortiz, J., and Davison, A.J. (2021, January 11–17). iMAP: Implicit mapping and positioning in real-time. Proceedings of the IEEE/CVF International Conference on Computer Vision, Montreal, BC, Canada.
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