Storage Retrieval

Download Knowledge-Based Driver Assistance Systems: Traffic Situation by Michael Huelsen PDF

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By Michael Huelsen

The comprehension of a site visitors scenario performs an enormous function in riding a automobile. Interpretable details kinds a foundation for destiny projection, determination making and motion appearing, corresponding to navigating, maneuvering and riding keep an eye on. Michael Huelsen presents an ontology-based normal site visitors scenario description able to providing quite a few complicated driving force assistance structures with proper information regarding the present site visitors state of affairs of a automobile and its surroundings. those structures are enabled to accomplish average activities and procedure visionary ambitions comparable to harm and coincidence loose using, colossal advice in arbitrary occasions as much as even self sufficient driving.

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Additional info for Knowledge-Based Driver Assistance Systems: Traffic Situation Description and Situation Feature Relevance

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G. object oriented programming, allows for multi-level structure and inheritance of grouped functionality and properties. x Expandability: The situation description should be able to be expanded for more expressivity, to capture more aspects of the situation or to handle extended sensor information to provide more information about the situation or to serve additional DAS functions. x Exchangeability: In combination with modularity and expandability, exchangeability is useful to allow different target applications using different modules for different expressivity.

Fuzzy rules are executed based on given situation aspects having a high membership value and new aspects are loaded additionally according to the executed fuzzy rules and their consequences. However, situation aspects are not related to each other and fuzzy rules are aimed to directly infer necessary behavior. Object Oriented Probabilistic Relational Models (OPRMs) are capable of describing objects, relations and attributes to form semantics about a situation. OPRMs are frame-based and dynamically build Bayesian networks using instantiated frames.

1993]. They may also be combined and may overlap. They are not always clearly distinguishable 19. Semantic networks can be a form of formal logic as in [Russell and Norvig, 2003], so that the discussions between advocates of logic and advocates of semantic networks turn out to be needless. All KR techniques contain a family of languages to formulate knowledge. 19 At this point, it shall be stated that literature in the field of knowledge representation, logics, probabilistics and their combinations does often use ambiguous terminology.

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