Visual Simultaneous Localization and Mapping (SLAM) Based on Blurred Image Detection-Reference-Cited by-同舟云学术

Visual Simultaneous Localization and Mapping (SLAM) Based on Blurred Image Detection

Published:2021-08-11 Issue:1 Volume:103 Page:
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Yu Huaiyuan^ORCID,Zhu Haijiang,Huang Fengrong

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10846-021-01456-5.pdf

Reference22 articles.

1. Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., Leonard, J.J.: Past, present, and future of simultaneous localization and mapping: toward the robust-perception age. IEEE Trans. Robot. 32, 1309–1332 (2016)

2. Fuwen, H., Jingli, C.: Yunchang, Bao.; Yunhua, H. accuracy enhancement for the front-end tracking algorithm of RGB-D SLAM. Intell. Serv. Robot. 13, 207–218 (2020)

3. Fuentes-Pacheco, J., Ruiz-Ascencio, J., Rendón-Mancha, J.M.: Visual simultaneous localization and mapping: a survey. Artif. Intell. Rev. 43, 55–81 (2015)

4. Dingfu, Z., Yuchao, D., Hongdong, L.: Ground-plane-based absolute scale estimation for monocular visual Odometry. IEEE Trans. Intell. Transp. Syst. 21, 791–802 (2020)

5. Engel, J., Schps, T., Cremers, D.: LSD-SLAM: Large-scale direct monocular SLAM. In Proceedings of the European Conference on Computer Vision; Springer: Cham, Switzerland; pp. 834–849 (2014)

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