首页> 外文会议>Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on >Implementation of autonomous fuzzy garage-parking control by an FPGA-based car-like mobile robot using infrared sensors
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Implementation of autonomous fuzzy garage-parking control by an FPGA-based car-like mobile robot using infrared sensors

机译:利用红外传感器的基于FPGA的汽车类移动机器人实现自主模糊车库停车控制

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In this paper, the concepts of car maneuvers, fuzzy logic control (FLC), and sensor-based behavior are merged to implement the human-like driving skills in the garage-parking task by an autonomous car-like mobile robot (CLMR). We decompose the garage-parking control into four modes to synthesize the fuzzy garage parking control (FGPC). Computer simulation results illustrate the effectiveness of the proposed control schemes. The setup of the CLMR is provided, where the FGPC is implemented on a field-programmable gate array (FPGA) chip. Finally, the real-time experiments of the FPGA-based CLMR for the garage-parking task demonstrate the feasibility in a practical car maneuvering.
机译:在本文中,将汽车操纵,模糊逻辑控制(FLC)和基​​于传感器的行为的概念合并在一起,以通过自动汽车式移动机器人(CLMR)在车库停车任务中实现类似于人的驾驶技能。我们将车库停车控制分解为四种模式,以合成模糊车库停车控制(FGPC)。计算机仿真结果说明了所提出的控制方案的有效性。提供了CLMR的设置,其中FGPC在现场可编程门阵列(FPGA)芯片上实现。最后,针对车库停车任务的基于FPGA的CLMR的实时实验证明了在实际汽车操纵中的可行性。

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