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

By Michael Huelsen

The comprehension of a site visitors scenario performs an important function in riding a car. Interpretable details kinds a foundation for destiny projection, determination making and motion acting, akin to navigating, maneuvering and using regulate. Michael Huelsen presents an ontology-based time-honored site visitors scenario description in a position to providing a variety of complicated motive force information structures with suitable information regarding the present site visitors state of affairs of a car and its atmosphere. those structures are enabled to accomplish moderate activities and process visionary targets corresponding to harm and twist of fate unfastened riding, monstrous guidance in arbitrary events as much as even self sustaining driving.

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

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OPRMs are frame-based and dynamically build Bayesian networks using instantiated frames. 2. On one hand, their advantage is the inherent handling of probabilistic information. On the other hand, they do not provide the full range of logic inference as ontologies relying on a highly formalized logic, although they may be formulated using formal logic. For large OPRM networks creating even larger Bayesian networks reasoning time may increase tremendously. Recently, OPRMs have been used for situation criticality assessment in [Schamm and Zöllner, 2011].

Rules as a KR technique are sets of implications. It is also referred to as logic programming with Prolog as a standardized rule language [Lloyd, 1987]. 2). 4. Recent methods are trying to combine KR methods with probabilistic reasoning such as frame based OPRMs, MLNs or probabilistic description logics such as P-SHOQ. 5 of this chapter. 2 Ontologies An ontology is a formalism to represent knowledge about a field of discourse. It is built up from hierarchical concepts describing object classes.

2005], in contrast, make use of F-Logic (a representative of FOL) as a formal language for ontological knowledge representation to store information about the traffic situation including intersections. Axioms and constraints as well as traffic rules are not included within the knowledge-base. Simple traffic rules are still applied, using queries that match situations with a potential right-of-way situation (two vehicles approaching an intersection on different roads). Hence, traffic rules are not reasoned, but certain traffic rule situations are specifically searched for.

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