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Intelligent vehicle autonomous navigation control method based on speech recognition technology

Author

Listed:
  • Xue Bai
  • Yu Zhao
  • Donghui Lv
  • Haichao Hu
  • Huiqi Du

Abstract

To address the issues of poor effectiveness in traditional methods of mobile path planning, low-success rate in autonomous navigation control and long response time, an intelligent vehicle autonomous navigation control method based on speech recognition technology is proposed. The method involves collecting driver's voice signals using speech recognition technology, pre-processing the collected signals with pre-emphasis, framing and windowing techniques to obtain driver instruction recognition results. Based on the driver's instructions, an intelligent vehicle grid map is generated using SLAM technology. In the generated grid map, an improved artificial potential field method is applied to plan the intelligent vehicle's movement path, and PID control algorithm is utilised to control the autonomous navigation of the intelligent vehicle. Experimental results demonstrate that the proposed method plans a shorter path for the intelligent vehicle with precise avoidance of obstacles, achieving a mean success rate of 97.01% and a mean response time of 72.75 ms.

Suggested Citation

  • Xue Bai & Yu Zhao & Donghui Lv & Haichao Hu & Huiqi Du, 2024. "Intelligent vehicle autonomous navigation control method based on speech recognition technology," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 28(3), pages 147-164.
    • Handle: RePEc:ids:ijpdev:v:28:y:2024:i:3:p:147-164
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