Design of LPV control for autonomous vehicles using the contributions of big data analysis

Fényes, Dániel; Németh, Balázs; Gáspár, Péter

doi:10.1080/00207179.2021.1876922

Cited by 17 publications

(12 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e network public opinion monitoring based on the network information extraction and semantic analysis technology cannot understand the deeper semantics, can only stay in the stage of passive monitoring of network public opinion, and cannot realize the automatic identification of network hot spot information, or track the discovered public opinion information. With the development of natural language processing, data mining and other technologies, especially the wide application of search engine, we can efficiently organize the originally scattered information together through the analysis of its relevance [21,22]. Build a sensitive information knowledge thesaurus, through the analysis of users' concerns about sensitive words, for the detection documents, infer the relationship of sensitive information in the knowledge base, determine the query conditions of sensitive words, submit to the search engine, build the basic analysis set, carry out sensitivity analysis, get the sensitivity evaluation of sensitive words, and issue early warning according to the analysis results.…”

Section: Realization Of Sensitive Information Mining In Newsmentioning

confidence: 99%

Mathematical Methods for Sensitive Information Mining Method of News Communication Platform Based on Big Data IOT Analysis

Jiang

Yang

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

It is urgent to effectively monitor the public opinion of the news communication platform. The platform designed in this paper takes microblog public opinion as the research goal, uses MongoDB to build a distributed computing platform for sensitive information of news communication platform, establishes a corpus of sensitive event topics, introduces PageRank algorithm to deal with microblog social relations, obtains the characteristics of sensitive information of news communication platform, and carries out information screening, so as to accurately screen and mine the keywords in high impact information. To ensure the practical application effect of sensitive information mining method of news communication platform based on big data analysis. Finally, the experiment proves that the sensitive information mining method of news communication platform based on big data analysis has the advantages of high timeliness and high accuracy, which fully meets the research requirements. This is fully in line with the requirements of the study.

show abstract

Section: Realization Of Sensitive Information Mining In Newsmentioning

confidence: 99%

Mathematical Methods for Sensitive Information Mining Method of News Communication Platform Based on Big Data IOT Analysis

Jiang

Yang

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…For example, in a control design for cruise control, the reward in the reinforcement learning process can be formed, which leads to the acceptable motion of the vehicle in signalized intersections, i.e., considering red and green light for stopping and moving. As a counterexample, classification of good and bad instances to achieve an appropriate decision tree for lateral vehicle control systems is not trivial [27]. Nevertheless, complex scenarios with human participation SAMI 2022 • IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics • March 2-5, 2022 • Poprad, Slovakia in a multi-vehicle situation can pose extremely difficult evaluation of the control objectives.…”

Section: Forming Objective Function Can Lead To the Problem Of Good A...mentioning

confidence: 99%

“…Second, the goal of the automated vehicle control is to avoid the possibility of critical maneuvering, i.e. the motion of the vehicle far from critical vehicle dynamic situations must be kept [40], [27]. Consequently, the risk of an accident caused by an automated vehicle (e.g.…”

Section: Illustration Examplesmentioning

confidence: 99%

Route selection method with ethical considerations for automated vehicles under critical situations

Németh

2022

2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI)

View full text Add to dashboard Cite

Route selection for automated vehicle is a challenging task under critical situations, i.e., which can lead to serious or fatal injury. Due to the high risk of a dangerous collision with its consequences on human participants, the selection on possible routes poses ethical problems. This paper proposes a multi-layer route selection strategy for automated vehicles under critical situations, in which ethical considerations have been incorporated. The selection strategy contains a graph-based quantitative evaluation layer and a layer with qualitative evaluation based on the ethical principles. The operation of the route selection method through some examples is illustrated.

show abstract

“…Fnyes et al put forward the theory of using machine learning linear parameter change control to analyze big data, obtained a highly robust vehicle selection function for college graduates to check in and take a ride, and verified its effectiveness through simulation. is method can intelligently analyze the choice of graduates' whereabouts, but can not carry out high accuracy analysis and statistics on dynamic data [16].…”

Section: Related Workmentioning

confidence: 99%

Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm

Yang

2022

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

With the research of machine learning technology and big data intelligent processing technology in engineering application becoming more and more mature, people gradually combine machine learning technology and big data intelligent processing technology. Aiming at the problem of innovative employment in colleges and universities, this paper proposes a dynamic decision tree algorithm based on these two technologies and constructs a dynamic model of graduates’ behavior. Through the analysis of dynamic decision tree algorithm, a big data analysis system is formed. Finally, simulation experiments verify whether the dynamic model can correctly reflect the behavior of college graduates. The results show that the big data integration system based on big data and dynamic decision tree algorithm has high adaptability. Incremental adaptive optimization of the traditional decision tree model can significantly improve the prediction effect and prediction time of dynamic data and provide theoretical support for the industrialization and social significance of big data technology. The dynamic decision tree algorithm of college employment proposed in this paper has good predictability and provides a certain theoretical reference for college graduates’ entrepreneurship.

show abstract

Design of LPV control for autonomous vehicles using the contributions of big data analysis

Cited by 17 publications

References 32 publications

Mathematical Methods for Sensitive Information Mining Method of News Communication Platform Based on Big Data IOT Analysis

Mathematical Methods for Sensitive Information Mining Method of News Communication Platform Based on Big Data IOT Analysis

Route selection method with ethical considerations for automated vehicles under critical situations

Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm

Contact Info

Product

Resources

About