Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 3776-3781 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| Volume | 3 |
| Publication status | Published - 2003 |
| Event | 2003 IEEE International Conference on Robotics and Automation - Taipei, Taiwan Duration: 2003 Sept 14 → 2003 Sept 19 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering