Comparative analysts of different-approaches to target classification and localization with sonar

被引：0
|
作者：
Ayrulu, B [1 ]
Barshan, B [1 ]
机构：
[1] Bilkent Univ, Dept Elect & Elect Engn, TR-06533 Bilkent, Turkey
来源：
MFI2001: INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS | 2001年
关键词：
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：
This study compares the performances of different classification and fusion techniques for the differentiation and localization of commonly encountered features in indoor environments. Differentiation of such features is of rest for intelligent systems in a variety of applications.
引用
收藏
页码：25 / 30
页数：6
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