Dynamic-preserving qualitative motion description for intelligent vehicles

Andrea Miene; Andreas D. Lattner; Ubbo Visser; Otthein Herzog

Dynamic-preserving qualitative motion description for intelligent vehicles

Andrea Miene, Andreas D. Lattner, Ubbo Visser, Otthein Herzog

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

Abstract

Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.

Original language	English (US)
Pages	642-646
Number of pages	5
State	Published - Sep 27 2004
Externally published	Yes
Event	2004 IEEE Intelligent Vehicles Symposium - Parma, Italy Duration: Jun 14 2004 → Jun 17 2004

Other

Other	2004 IEEE Intelligent Vehicles Symposium
Country/Territory	Italy
City	Parma
Period	6/14/04 → 6/17/04

ASJC Scopus subject areas

Modeling and Simulation
Automotive Engineering
Computer Science Applications

Cite this

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title = "Dynamic-preserving qualitative motion description for intelligent vehicles",

abstract = "Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.",

author = "Andrea Miene and Lattner, {Andreas D.} and Ubbo Visser and Otthein Herzog",

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AU - Miene, Andrea

AU - Lattner, Andreas D.

AU - Visser, Ubbo

AU - Herzog, Otthein

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Y1 - 2004/9/27

N2 - Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.

AB - Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.

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M3 - Paper

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T2 - 2004 IEEE Intelligent Vehicles Symposium

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Dynamic-preserving qualitative motion description for intelligent vehicles

Abstract

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ASJC Scopus subject areas

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