Design of Genetic Algorithm-Based Parking System for an Autonomous Vehicle

被引：0

作者：

Xiong, Xing ^{[1
]}

Choi, Byung-Jae ^{[1
]}

机构：

[1] Daegu Univ, Sch Elect Engn, Gyongsan 712714, Gyeongbuk, South Korea

来源：

CONTROL AND AUTOMATION, AND ENERGY SYSTEM ENGINEERING | 2011年 / 256卷

关键词：

Genetic Algorithm; Evolutionary Algorithm; Autonomous Vehicle; Parking System; Fitness;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A Genetic Algorithm (GA) is a kind of search techniques used to find exact or approximate solutions to optimization and searching problems. This paper discusses the design of a genetic algorithm-based intelligent parking system. This is a search strategy based on the model of evolution to solve the problem of parking systems. A genetic algorithm for an optimal solution is used to find a series of optimal angles of the moving vehicle at a parking space autonomously. This algorithm makes the planning simpler and the movement more effective. At last we present some simulation results.

引用

页码：50 / 57

页数：8