NDLI: A Control Method to Avoid Obstacles for an Intelligent Car Based on Rough Sets and Neighborhood Systems

Content Provider	IEEE Xplore Digital Library
Author	Yi Jiang Hailiang Zhao Huimin Fu
Copyright Year	2015
Description	Author affiliation: Sch. of Math., Southwest Jiaotong Univ., Chengdu, China (Yi Jiang; Hailiang Zhao; Huimin Fu)
Abstract	In order to study the dynamic control model of intelligent cars following roads with obstacles, this paper presents a control method to avoid obstacles for an intelligent car. Firstly, to simplify the shape of an obstacle, according to the related theory of covering rough set model, we use a finite number of trapezoid neighborhoods to cover the irregular obstacle. And whose upper approximation in the sense of the rough set is used as a regular obstacle region. Secondly, an orientation method of intelligent cars' relative to roads with regular obstacles based on feasible neighborhoods is presented. And the feasible neighborhood of a certain moment is determined by the lower approximation of the detected feasible neighborhood, which is covered by a finite number of standard trapezoid neighborhoods and regarded as a rough set in the sense of covering rough set model. The effectiveness of the presented methods is illustrated by simulation experiments with Matlab.
Starting Page	66
Ending Page	70
File Size	241032
Page Count	5
File Format	PDF
e-ISBN	9781467393232
DOI	10.1109/ISKE.2015.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	intelligent cars Shape Roads dynamic control Wheels neighborhood systems obstacles Sensors Automobiles Mathematical model Artificial intelligence
Content Type	Text
Resource Type	Article

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