Implementation of autonomous fuzzy garage-parking control by an FPGA-based car-like mobile robot using infrared sensors

Tzuu Hseng S. Li, Shih Jie Chang, Yi Xiang Chen

研究成果: Conference article

9 引文 (Scopus)

摘要

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.

原文English
頁(從 - 到)3776-3781
頁數6
期刊Proceedings - IEEE International Conference on Robotics and Automation
3
出版狀態Published - 2003 十二月 9
事件2003 IEEE International Conference on Robotics and Automation - Taipei, Taiwan
持續時間: 2003 九月 142003 九月 19

指紋

Mobile robots
Field programmable gate arrays (FPGA)
Railroad cars
Infrared radiation
Sensors
Fuzzy logic
Computer simulation
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

引用此文

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