Research on obstacle avoidance algorithm for unmanned ground vehicle based on multi-sensor information fusion

DOI10.3934/MBE.2021055zbMath1471.93195OpenAlexW3119387605MaRDI QIDQ1981024

Chenxi Qu, Shengguan Qu, Ning Zhao, Peng Yin, Shaofeng Du, Jiliang Lv, Xin-Yu Zhao

Publication date: 9 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021055

zbMATH Keywords

fuzzy neural networkobstacle avoidancemulti-sensor information fusionunmanned ground vehiclerobotics control

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85)

Uses Software

• Unnamed Item

Cites Work

• A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
• Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian
• A new mobile robot navigation method using fuzzy logic and a modified Q-learning algorithm

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