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Title:
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A CONSTRAINT-BASED AND CONTEXT-AWARE OVERTAKING ASSISTANT WITH FUZZYPROBABILISTIC |
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Author(s):
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Simone Fuchs , Stefan Rass , Kyandoghere Kyamakya |
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ISBN:
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978-972-8924-62-1 |
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Editors:
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Jörg Roth and Jairo Gutiérrez |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Context-awareness, Constraint Programming, Fuzzy-probabilistic Risk Classification, Overtaking Assistance |
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Type:
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Full Paper |
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First Page:
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93 |
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Last Page:
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100 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Overtaking is one of the most dangerous driving maneuvers and thus a clear candidate for driving assistance. Many
factors from the driving context, like oncoming and approaching vehicles, traffic signs and road conditions have
influence on the behavior in an overtaking situation. In other words, a variety of legal and environmental constraints exist
for the recommendation provided by a driving assistance system. In this paper, we present a logic-based approach for a
context-aware overtaking assistance system, exploiting constraint satisfaction. Influence factors that depend on present
speed and distance values of the involved vehicles are modeled as dynamic constraints and a solution is determined that
fulfils all constraints. Before presenting the recommendation to the driver, a-priori fuzzy classification is performed for
every dynamic constraint to estimate the risk for a potential overtaking maneuver. Assuming that a driver follows the
recommendation of the assistance systems, we use driver context information, like skills or state, to provide a measure of
safety for the maneuver, interpretable as the probability for an accident. Simulation results are discussed afterwards,
together with future work. |
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