Evaluating and Optimizing Feature Combinations for Visual Loop Closure Detection-Reference-Cited by-同舟云学术

Evaluating and Optimizing Feature Combinations for Visual Loop Closure Detection

Published:2022-02 Issue:2 Volume:104 Page:
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Wang Xiaolong^ORCID,Zhang Hong,Peng Guohua

Funder

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/s10846-022-01575-7.pdf

Reference54 articles.

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3. Liu, Y., Zhang, H.: Visual loop closure detection with a compact image descriptor. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1051–1056. IEEE (2012)

4. Campos, F.M., Correia, L., Calado, J.M.: Loop closure detection with a holistic image feature. In: Portuguese Conference on Artificial Intelligence, pp. 247–258. Springer (2013)

5. Sünderhauf, N., Protzel, P.: Brief-gist: Closing the loop by simple means. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1234–1241. IEEE (2011)

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