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FPGA-based autonomous parking of a car-like robot using Fuzzy Logic Control

机译:基于FPGA的模糊逻辑控制的汽车机器人自动泊车

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This paper proposes a hardware solution to the problem of autonomous parking of a car-like robot. The proposed system scans for a valid parking space and performs the necessary manoeuvres to park the robot within that space. Parallel and perpendicular parking is achieved by using a fuzzy logic based system that was developed in a simulation environment and subsequently prototyped on a custom built, car-like robot. Fuzzy logic is being proposed as it provides a fast response with a very small hardware footprint. For optimal efficiency, the system was implemented on an FPGA (Field Programmable Gate Array) resulting in a very cost-effective, yet robust system that could be implemented on a full size vehicle.
机译:针对汽车机器人的自动泊车问题,本文提出了一种硬件解决方案。提议的系统扫描有效的停车位,并执行必要的操作以将机器人停放在该停车位中。平行和垂直停车是通过使用基于模糊逻辑的系统实现的,该系统是在仿真环境中开发的,随后在定制的类似汽车的机器人上进行原型制作。提出了模糊逻辑,因为它以很小的硬件占用空间提供了快速响应。为了获得最佳效率,该系统在FPGA(现场可编程门阵列)上实现,因此可以在大型车辆上实现非常经济高效的系统。

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