An omni-vision based self-localization method for soccer robot

Junhong Ji; Giovanni Indiveri; Paul Ploeger; Ansgar Bredenfeld

doi:10.1109/IVS.2003.1212922

An omni-vision based self-localization method for soccer robot

Junhong Ji^*
, Giovanni Indiveri
, Paul Ploeger
, Ansgar Bredenfeld

^*Corresponding author for this work

Fraunhofer Institute for Intelligent Analysis and Information Systems
University of Salento

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

An omni vision based new triangulation method for localizing a mobile robot or intelligent vehicle in an environment with landmarks is proposed in this paper. Our vision program can identify some landmarks from the image, then the triangulation method estimates the robot's position and orientation in the environment coordinates, just using the view angle to these landmarks. A RoboCup middle size league soccer robot is chosen to test the algorithm, experimental results are provided.

Original language	English
Title of host publication	IEEE Intelligent Vehicles Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	276-281
Number of pages	6
ISBN (Electronic)	0780378482
DOIs	https://doi.org/10.1109/IVS.2003.1212922
State	Published - 2003
Externally published	Yes
Event	2003 IEEE Intelligent Vehicles Symposium, IV 2003 - Columbus, United States Duration: 9 Jun 2003 → 11 Jun 2003

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference	2003 IEEE Intelligent Vehicles Symposium, IV 2003
Country/Territory	United States
City	Columbus
Period	9/06/03 → 11/06/03

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10.1109/IVS.2003.1212922

Cite this

@inproceedings{3fdb569a19e048869db2ec59e9c9e634,

title = "An omni-vision based self-localization method for soccer robot",

abstract = "An omni vision based new triangulation method for localizing a mobile robot or intelligent vehicle in an environment with landmarks is proposed in this paper. Our vision program can identify some landmarks from the image, then the triangulation method estimates the robot's position and orientation in the environment coordinates, just using the view angle to these landmarks. A RoboCup middle size league soccer robot is chosen to test the algorithm, experimental results are provided.",

author = "Junhong Ji and Giovanni Indiveri and Paul Ploeger and Ansgar Bredenfeld",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE Intelligent Vehicles Symposium, IV 2003 ; Conference date: 09-06-2003 Through 11-06-2003",

year = "2003",

doi = "10.1109/IVS.2003.1212922",

language = "英语",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "276--281",

booktitle = "IEEE Intelligent Vehicles Symposium, Proceedings",

address = "美国",

}

Ji, J, Indiveri, G, Ploeger, P & Bredenfeld, A 2003, An omni-vision based self-localization method for soccer robot. in IEEE Intelligent Vehicles Symposium, Proceedings., 1212922, IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 276-281, 2003 IEEE Intelligent Vehicles Symposium, IV 2003, Columbus, United States, 9/06/03. https://doi.org/10.1109/IVS.2003.1212922

An omni-vision based self-localization method for soccer robot. / Ji, Junhong; Indiveri, Giovanni; Ploeger, Paul et al.
IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. p. 276-281 1212922 (IEEE Intelligent Vehicles Symposium, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Ploeger, Paul

AU - Bredenfeld, Ansgar

PY - 2003

Y1 - 2003

N2 - An omni vision based new triangulation method for localizing a mobile robot or intelligent vehicle in an environment with landmarks is proposed in this paper. Our vision program can identify some landmarks from the image, then the triangulation method estimates the robot's position and orientation in the environment coordinates, just using the view angle to these landmarks. A RoboCup middle size league soccer robot is chosen to test the algorithm, experimental results are provided.

AB - An omni vision based new triangulation method for localizing a mobile robot or intelligent vehicle in an environment with landmarks is proposed in this paper. Our vision program can identify some landmarks from the image, then the triangulation method estimates the robot's position and orientation in the environment coordinates, just using the view angle to these landmarks. A RoboCup middle size league soccer robot is chosen to test the algorithm, experimental results are provided.

UR - https://www.scopus.com/pages/publications/26844548623

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AN - SCOPUS:26844548623

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T2 - 2003 IEEE Intelligent Vehicles Symposium, IV 2003

Y2 - 9 June 2003 through 11 June 2003

ER -

An omni-vision based self-localization method for soccer robot

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