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Fuzzy based Autonomous Parallel Parking Challenges in Real time Scenario

机译:基于模糊的基于自主并行停车挑战实时场景

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Fuzzy based automation in automobile industries has attracted many researcher in recent years for their ability to adapt human like expertise. In this paper, combination of fuzzy based navigation and parallel parking problem is discussed. Navigation algorithm makes a vehicle able to reach to destination avoiding nearby obstacles. Main objective of this paper is to highlight and explore challenges present in parking system. Multipurpose parallel parking system is mainly focused. Different forward and reverse parking situations are considered in parallel parking. Matlab simulations are also provided to aid and validate claim of challenges.
机译:汽车行业的模糊自动化近年来吸引了许多研究员,以便他们适应人类的专业知识。本文讨论了模糊的导航和并联停车问题的组合。导航算法使车辆能够达到目的地避免附近的障碍物。本文的主要目标是突出和探索停车系统中存在的挑战。多用途并行停车系统主要集中。在并行停车处考虑不同的前向和逆向停车处。还提供了MATLAB模拟,以帮助并验证挑战的索赔。

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