Robot Algorithms for Localization of Multiple Emission Sources

被引：18

作者：

Mcgill, Kathleen ^{[1
]}

Taylor, Stephen ^{[1
]}

机构：

[1] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA

来源：

ACM COMPUTING SURVEYS | 2011年 / 43卷 / 03期

关键词：

Algorithms; Performance; Reliability; Standardization; Source localization; mobile robotic networks; swarm algorithms; hill-climbing algorithms; biologically inspired algorithms; Bayesian occupancy mapping; Bayesian filters; TARGET TRACKING; DISTRIBUTED OPTIMIZATION; PARTICLE FILTERS; DATA ASSOCIATION; SWARM; BIOMIMICRY;

D O I：

10.1145/1922649.1922652

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The problem of time-varying, multisource localization using robotic swarms has received relatively little attention when compared to single-source localization. It involves distinct challenges regarding how to partition the robots during search to ensure that all sources are located in minimal time, how to avoid obstacles and other robots, and how to proceed after each source is found. Unfortunately, no common set of validation problems and reference algorithms has evolved, and there are no general theoretical foundations that guarantee progress, convergence, and termination. This article surveys the current multisource literature from the viewpoint of these central questions.

引用

页数：25

共 91 条

[1]

[Anonymous], P IEEE INT C ROB AUT

[2]

[Anonymous], P AIAA GUID NAV CONT

[3]

[Anonymous], 1975, TURBULENCE

[4]

[Anonymous], J JAPAN SOC MECH ENG

[5]

[Anonymous], 1997, MACHINE LEARNING, MCGRAW-HILL SCIENCE/ENGINEERING/MATH

[6]

[Anonymous], 2003, P 13 INT S UNM UNT S

[7]

[Anonymous], 2007, OFF SECR DEF UNM SYS

[8]

[Anonymous], 1998, RAPIDLY EXPLORING RA

[9] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].

Arulampalam, MS ;

Maskell, S ;

Gordon, N ;

Clapp, T .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188

[10]

Bachmayer R, 2002, IEEE DECIS CONTR P, P112, DOI 10.1109/CDC.2002.1184477

← 1 2 3 4 5 6 7 8 9 10 →