A method for incorporation of new evidence to improve world state estimation

Martin Haker; André Meyer; Daniel Polani; Thomas Martinetz

doi:10.1007/3-540-45603-1_44

A method for incorporation of new evidence to improve world state estimation

Martin Haker, André Meyer, Daniel Polani, Thomas Martinetz

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

3 Citations (Scopus)

Abstract

We describe an approach to incorporate new evidence into an existing world model. The method, Evidence-based World state Estimation, has been used in the RoboCup soccer simulation scenario to obtain a high precision estimate for player and ball position.

Original language	English
Title of host publication	RoboCup 2001
Subtitle of host publication	Robot Soccer World Cup V
Publisher	Springer Nature
Pages	362-367
Number of pages	6
ISBN (Print)	3540439129, 9783540439127
DOIs	https://doi.org/10.1007/3-540-45603-1_44
Publication status	Published - 1 Jan 2002
Externally published	Yes
Event	5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 - Seattle, WA, United States Duration: 2 Aug 2001 → 10 Aug 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2377 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th Robot World Cup Soccer Games and Conferences, RoboCup 2001
Country/Territory	United States
City	Seattle, WA
Period	2/08/01 → 10/08/01

Access to Document

10.1007/3-540-45603-1_44

Cite this

Haker, M., Meyer, A., Polani, D., & Martinetz, T. (2002). A method for incorporation of new evidence to improve world state estimation. In RoboCup 2001: Robot Soccer World Cup V (pp. 362-367). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2377 LNAI). Springer Nature. https://doi.org/10.1007/3-540-45603-1_44

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title = "A method for incorporation of new evidence to improve world state estimation",

abstract = "We describe an approach to incorporate new evidence into an existing world model. The method, Evidence-based World state Estimation, has been used in the RoboCup soccer simulation scenario to obtain a high precision estimate for player and ball position.",

author = "Martin Haker and Andr{\'e} Meyer and Daniel Polani and Thomas Martinetz",

year = "2002",

month = jan,

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doi = "10.1007/3-540-45603-1_44",

language = "English",

isbn = "3540439129",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "362--367",

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note = "5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 ; Conference date: 02-08-2001 Through 10-08-2001",

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Haker, M, Meyer, A, Polani, D & Martinetz, T 2002, A method for incorporation of new evidence to improve world state estimation. in RoboCup 2001: Robot Soccer World Cup V. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2377 LNAI, Springer Nature, pp. 362-367, 5th Robot World Cup Soccer Games and Conferences, RoboCup 2001, Seattle, WA, United States, 2/08/01. https://doi.org/10.1007/3-540-45603-1_44

A method for incorporation of new evidence to improve world state estimation. / Haker, Martin; Meyer, André; Polani, Daniel et al.
RoboCup 2001: Robot Soccer World Cup V. Springer Nature, 2002. p. 362-367 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2377 LNAI).

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

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AU - Polani, Daniel

AU - Martinetz, Thomas

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M3 - Conference contribution

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A method for incorporation of new evidence to improve world state estimation

Abstract

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