Design of unmanned interaction system based on visual cognition

Autor:	Ying Gao, Shan Li, Tao Ba, Tong Ren
Rok vydání:	2022
Předmět:	Statistics and Probability Artificial Intelligence General Engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS
Zdroj:	Journal of Intelligent & Fuzzy Systems. 43:3393-3401
ISSN:	1875-8967 1064-1246
DOI:	10.3233/jifs-211657
Popis:	The stability of unmanned vehicle is related to the safety of the vehicle itself. In the process of unmanned vehicle control, there will be collision phenomenon in the process of meeting the vehicle. To solve the above problem, the design of unmanned interaction system based on visual cognition is proposed. The hardware structure of the system is designed based on 80C51 single chip microcomputer, including ARM processor, GPS receiving module, driving record signal collecting module, etc. The PID controller design based on neural network is optimized, and the design of unmanned interactive system based on visual cognition is completed. Experimental results show that the designed system can identify the surrounding environment in real time, make corresponding decisions, let the vehicle avoid the wrong vehicle operation, and save Oil consumption.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2da450ff025a4d985e2b5d814b259805 https://doi.org/10.3233/jifs-211657 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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