2012
DOI: 10.5687/sss.2012.165
View full text |Buy / Rent full text
|
Sign up to set email alerts
|

Abstract: This paper describes a method for sensor data fusion of thermal imaging sensor and a vision system such as a camera for probabilistic target tracking for autonomous robots. Person tracking is a crucial issue for achieving tasks for communication with people and following the target person by the robots. The integration of multiple kinds of sensor data for validation of the recognition result is desirable because of the uncertainty of recognition results based on the vision system. We use a stochastic model bas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2012
2012

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 5 publications
(1 reference statement)
0
1
0
Order By: Relevance
“…This paper is a revised version of the conference paper [11] presented at "The 43rd ISCIE International Symposium on Stochastic Systems Theory and Its Applications," Shiga, Japan, October 28-29, 2011. Middle: tracking result based on sensor data fusion, Right: tracking result using camera images)…”
Section: Resultsmentioning
confidence: 99%
“…This paper is a revised version of the conference paper [11] presented at "The 43rd ISCIE International Symposium on Stochastic Systems Theory and Its Applications," Shiga, Japan, October 28-29, 2011. Middle: tracking result based on sensor data fusion, Right: tracking result using camera images)…”
Section: Resultsmentioning
confidence: 99%