Using SVM to Avoid Humans: A Case of a Small Autonomous Mobile Robot in an Office

被引：0

作者：

Matsumoto, Emi ^{[1
]}

Sebag, Michele ^{[2
,3
]}

Suzuki, Einoshin ^{[1
]}

机构：

[1] Kyushu Univ, Dept Informat, ISEE, Fukuoka, Japan

[2] CNRS, TAO, F-91405 Orsay, France

[3] Univ Paris 11, F-91405 Orsay, France

来源：

COMPUTER AND INFORMATION SCIENCES II | 2012年

基金：

日本科学技术振兴机构;

关键词：

COLLISION-AVOIDANCE;

D O I：

10.1007/978-1-4471-2155-8_36

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper we construct a small, low-cost, autonomous mobile robot that avoids humans in an office. It applies an SVM classifier to each of 16 regions of interest in each picture taken by its camera mounted toward the ceiling. Experiments with 1 and 2 subjects with 3 kinds of velocities show encouraging results.

引用

页码：283 / 287

页数：5

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