Publication detail

Multispectral Sensory Head Calibration for Reconnaissance Robotics

KOCMANOVÁ, P. ŽALUD, L. KOPEČNÝ, L.

Original Title

Multispectral Sensory Head Calibration for Reconnaissance Robotics

Type

conference paper

Language

English

Original Abstract

The paper deals with appropriate calibration of multispectral vision systems and evaluation of the calibration and data-fusion quality in real-world indoor and outdoor conditions. Two objects for multispectral calibration and fusion evaluation are described. The objects were used by our team for calibration and evaluation of advanced visual system of Orpheus-X4 robot that is taken as a demonstrator, but their use is much wider and we suggest to use them as testbed for visual and optical measurement systems of mobile robots. Several evaluation experiments were done and are presented in the paper. To make the calibration easy and straightforward, we developed MultiSensCalib program in Matlab, containing all the described techniques. We provide the software as publicly available, including source code and testing images.

Keywords

robot, camera, calibration, multispectral, telepresence, augmented reality, visual control, robotic reconnaissance

Authors

KOCMANOVÁ, P.; ŽALUD, L.; KOPEČNÝ, L.

RIV year

2015

Released

12. 12. 2015

ISBN

978-1-61804-355-9

Book

Recent Advances on Systems. Signals, Control, Communications and Computers

Edition

57

Edition number

1

ISBN

1790-5117

Periodical

WSEAS Applied Informatics & Communications

Year of study

1

Number

1

State

Hellenic Republic

Pages from

101

Pages to

109

Pages count

9

BibTex

@inproceedings{BUT124030,
  author="Petra {Kalvodová} and Luděk {Žalud} and Lukáš {Kopečný}",
  title="Multispectral Sensory Head Calibration for Reconnaissance Robotics",
  booktitle="Recent Advances on Systems. Signals, Control, Communications and Computers",
  year="2015",
  series="57",
  journal="WSEAS Applied Informatics & Communications",
  volume="1",
  number="1",
  pages="101--109",
  isbn="978-1-61804-355-9",
  issn="1790-5117"
}