Using SVM to avoid humans: A case of a small autonomous mobile robot in an office

Emi Matsumoto; Michèle Sebag; Einoshin Suzuki

doi:10.1007/978-1-4471-2155-8-36

Using SVM to avoid humans: A case of a small autonomous mobile robot in an office

Emi Matsumoto, Michèle Sebag, Einoshin Suzuki

Intelligence Science

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages	283-287
Number of pages	5
DOIs	https://doi.org/10.1007/978-1-4471-2155-8-36
Publication status	Published - 2012
Event	26th Annual International Symposium on Computer and Information Science, ISCIS 2011 - London, United Kingdom Duration: Sept 26 2011 → Sept 28 2011

Other

Other	26th Annual International Symposium on Computer and Information Science, ISCIS 2011
Country/Territory	United Kingdom
City	London
Period	9/26/11 → 9/28/11

All Science Journal Classification (ASJC) codes

Computer Science (miscellaneous)
Information Systems

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10.1007/978-1-4471-2155-8-36

Cite this

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title = "Using SVM to avoid humans: A case of a small autonomous mobile robot in an office",

abstract = "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.",

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year = "2012",

doi = "10.1007/978-1-4471-2155-8-36",

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T2 - 26th Annual International Symposium on Computer and Information Science, ISCIS 2011

AU - Matsumoto, Emi

AU - Sebag, Michèle

AU - Suzuki, Einoshin

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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DO - 10.1007/978-1-4471-2155-8-36

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Y2 - 26 September 2011 through 28 September 2011

ER -

Using SVM to avoid humans: A case of a small autonomous mobile robot in an office

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