Bibliograph.
Daten | Regele, Ralf: Using Ontology-based Traffic Models for more efficient Decision Making of Autonomous Vehicles.
In: Greenwood, Dominic (Hrsg); Grottke, Michael (Hrsg); Lutfiyya, Hanan (Hrsg); Popescu, Manuela (Hrsg): Proceedings of the 4th International Conference on Autonomic and Autonomous Systems: ICAS '08; Gosier, Guadeloupe, 16-21 March 2008.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 94-99, englisch.
Gosier: IEEE computer society, 16. März 2008.
ISBN: 0-7695-3093-1; DOI: 10.1109/ICAS.2008.10.
Artikel in Tagungsband (Konferenz-Beitrag).
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| CR-Klassif. | A.0 (General Literature, General)
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| Keywords | Autonomous driving; traffic models; traffic coordination; decision making |
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| Kurzfassung | The paper describes how a high-level abstract world model can be used to support the decision-making process of an autonomous driving system. The approach uses a hierarchical world model and distinguishes between a low-level model for the trajectory planning and a high-level model for solving the traffic coordination problem. The abstract world model used in the CyberCars-2 project is presented. It is based on a topological lane segmentation and introduces relations to represent the semantic context of the traffic scenario. This makes it much easier to realize a consistent and complete driving control system, and to analyze, evaluate and simulate such a system.
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| Copyright | ICAS 2008 |
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| Kontakt | Ralf Regele regele@ipvs.uni-stuttgart.de |
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| Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Bildverstehen
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| Projekt(e) | Cybercars-2
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| Eingabedatum | 4. Juni 2008 |
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