GSNN: A Neuromorphic Computing Model for the Flexible Path Planning in Various Constraint Environments-Reference-Cited by-同舟云学术

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GSNN: A Neuromorphic Computing Model for the Flexible Path Planning in Various Constraint Environments

Published:2024 Issue: Volume: Page:1-19
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Ruan Haojie¹^ORCID,Chang Yinghui²,Wu Weikang²,Huang Zenan¹^ORCID,Deng Yabin¹^ORCID,Li Leilei¹^ORCID,Luo Hongyan¹^ORCID,He Shan¹,Guo Donghui³^ORCID

Affiliation:

1. Department of Microelectronics and Integrated Circuits, School of Electronic Science and Engineering, Xiamen University, Xiamen, China

2. China Academy for Network and Communications of CETC, Xiamen, China

3. School of Electronic Science and Engineering, Xiamen University, Xiamen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10419185.pdf?arnumber=10419185

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