An integrated environment for mobile robot navigation based on CNN images processing

被引：0

作者：

Gavrilut, I. ^{[1
]}

Tiponut, V. ^{[2
]}

Gacsadi, A. ^{[1
]}

机构：

[1] Univ Oradea, Dept Elect, Str Univ 1, Oradea 410087, Romania

[2] POLITEHN Univ Timisoara, Dept Appl Elect, Timisoara 300223, Romania

来源：

PROCEEDINGS OF THE 11TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS, VOL 2: SYSTEMS THEORY AND APPLICATIONS | 2007年

关键词：

mobile robot; cellular neural networks; path planning; integrated environment;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents an integrated environment for mobile robot guidance based on images acquired from the robot's workspace. The gray-scale images are processed using cellular neural networks (CNNs), well known for their high speed processing and the capability to be implemented on a VLSI chip.

引用

页码：81 / +

页数：2

共 17 条

[1]

ADAMATZKY A, 2004, IEEE T CIRCUITS SYST, V51

[2] CNN wave based computation for robot navigation on ace 16K [J].

Arena, P ;

Fortuna, L ;

Frasca, M ;

Vagliasindi, G ;

Basile, A ;

Yalçin, ME ;

Suykens, JAK .

2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2005, :5818-5821

[3] Visual feedback by using a CNN chip prototype system [J].

Arena, P ;

Basile, A ;

Fortuna, L ;

Virzì, A .

CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, 2002, :291-298

[4] THE VECTOR FIELD HISTOGRAM - FAST OBSTACLE AVOIDANCE FOR MOBILE ROBOTS [J].

BORENSTEIN, J ;

KOREN, Y .

IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1991, 7 (03) :278-288

[5]

CEMBRANO GL, 2003, J NEURAL SYSTEMS, V13, P427

[6]

CHUA LO, 1988, CELLULAR NEURAL NETW, V35, P1257

[7]

GACSADI A, 2002, INT WORKSH CNN THEIR, P188

[8]

Gavrilut I, 2006, PROCEEDINGS OF THE 2006 10TH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, P108

[9]

GAVRILUT I, 2005, 7 INT S SIGN CIRC SY, P801

[10]

GAVRILUT I, 2006, INT C AUT QUAL TEST, P306

← 1 2 →