Abstract
In this paper, the design of a fuzzy decision system for autonomous parallel car parking is presented. The modeling of the problem, the physics involved, the fuzzy sets assigned to the linguistic variables and the inference rules are explained. Different fuzzy operators have been tested in the generated simulation environment and the results have been compared. The decision system is proposed as a benchmark to show the influence of the different fuzzy strategies on the final decision. The comparison is made in terms of number of maneuvers for parking the vehicle. It also depends on the range of measurements to environmental objects around the car and on the starting position. The final implementation of the parking system in a Java Applet can be tested in the web using any browser.
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Sánchez, C.M., Peñas, M.S., Salvador, L.G. (2012). A Fuzzy Decision System for an Autonomous Car Parking. In: Lu, J., Jain, L.C., Zhang, G. (eds) Handbook on Decision Making. Intelligent Systems Reference Library, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25755-1_13
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DOI: https://doi.org/10.1007/978-3-642-25755-1_13
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