Abstract
The task to solve is the automatic “safe” guidance of an autonomous mobile vehicle along a German highway (AUTOBAHN) at moderate to high speed. To assist the necessary decision making process of how to behave “safely” in an actual traffic situation, data about the road itself (e.g. number of lanes, lane width, lane markings), traffic signs and other traffic participants around the own car have to be gathered, represented and interpreted appropriately. In this contribution fuzzy concepts are suggested in the development and use of part of an internal world model, based on which sensor data about other traffic participants can be evaluated and a prediction of their short to medium range future behaviour (i.e. their expected movements) can be derived such that decisions about the own future behaviour can be drawn.
The research was performed while the author was at the Universität der Bundeswehr München, 8014 Neubiberg
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© 1993 Springer-Verlag Berlin Heidelberg
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Mündemann, F. (1993). Fuzzy concepts for predicting the behaviour of other drivers on a highway. In: Klement, E.P., Slany, W. (eds) Fuzzy Logic in Artificial Intelligence. FLAI 1993. Lecture Notes in Computer Science, vol 695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56920-0_18
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DOI: https://doi.org/10.1007/3-540-56920-0_18
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