| Bibliography | Regele, Ralf: Using Ontology-based Traffic Models for more efficient Decision Making of Autonomous Vehicles.
In: Greenwood, Dominic (ed.); Grottke, Michael (ed.); Lutfiyya, Hanan (ed.); Popescu, Manuela (ed.): Proceedings of the 4th International Conference on Autonomic and Autonomous Systems: ICAS '08; Gosier, Guadeloupe, 16-21 March 2008.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 94-99, english.
Gosier: IEEE computer society, March 16, 2008.
ISBN: 0-7695-3093-1; DOI: 10.1109/ICAS.2008.10.
Article in Proceedings (Conference Paper).
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| CR-Schema | A.0 (General Literature, General)
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| Keywords | Autonomous driving; traffic models; traffic coordination; decision making |
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| Abstract | 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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| Contact | Ralf Regele regele@ipvs.uni-stuttgart.de |
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding
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| Project(s) | Cybercars-2
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| Entry date | June 4, 2008 |
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