A Survey of Probabilistic Search Based on Bayesian Framework

被引：1

作者：

Yu, Liang ^{[1
]}

Han, Qiang ^{[1
]}

Tuo, Xianguo ^{[1
]}

Tian, Wanchun ^{[1
]}

机构：

[1] Sichuan Univ Sci & Engn, Sch Automat & Informat Engn, Zigong, Peoples R China

来源：

2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

autonomous systems; bayesian filtering; probabilistic search; decision making; search theory; PURSUIT-EVASION GAMES; MOVING TARGET; PATH; ENVIRONMENTS;

D O I：

10.1109/ICMCCE48743.2019.00210

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper reviews the development of probabilistic search and introduces the basic content of probabilistic search. Although there has been a lot of research work on search problem, there lacks a comprehensive survey on this topic, let alone the recently published works that focus on this field. This paper analyzes the probabilistic search decision-making framework developed in recent years and discusses the relevant search problems. Furthermore, a comprehensive applicable analysis for each kind of method is presented after considering its working mechanism and time complexity. Finally, the development trend of probabilistic search is pointed out.

引用

页码：930 / 935

页数：6

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