A Deep Hierarchical Framework for Robot Global Localization-Reference-Cited by-同舟云学术

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A Deep Hierarchical Framework for Robot Global Localization

Published:2022-10 Issue:2 Volume:106 Page:
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Wang Zelin^ORCID,Gao Feng,Zhao Yue,Yin Yunpeng,Wang Liangyu

Funder

National Key Research and Development Program of China

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/s10846-022-01728-8.pdf

Reference36 articles.

1. Choi, H., Yang, K.W., Kim, E.: Simultaneous global localization and mapping. IEEE/ASME Trans. Mechatron. 19(4), 1160–1170 (2013)

2. Gawel, A., Del Don, C., Siegwart, R., Nieto, J., Cadena, C.: X-view: Graph-based semantic multi-view localization. IEEE Robot. Autom. Lett. 3(3), 1687–1694 (2018)

3. Lam, C.P., Chou, C.T., Chiang, K.H., Fu, L.C.: Human-centered robot navigation—towards a harmoniously human–robot coexisting environment. IEEE Trans. Robot. 27(1), 99–112 (2010)

4. Fujimori, A., Nikiforuk, P.N., Gupta, M.M.: Adaptive navigation of mobile robots with obstacle avoidance. IEEE Trans. Robot. Autom. 13(4), 596–601 (1997)

5. Artunedo, A., Villagra, J., Godoy, J., Del Castillo, M.D.: Motion planning approach considering localization uncertainty. IEEE Trans. Veh. Technol. 69(6), 5983–5994 (2020)

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