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Optimisation of dynamic navigation system for automatic driving vehicle based on binocular vision

Author

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  • Dongliang Wang
  • Guodong Yin
  • Nan Chen

Abstract

Aiming at the problem of low confidence and low success rate of vehicle navigation system, a dynamic navigation system based on binocular vision is proposed and designed. The system is optimised from two aspects: hardware and software. In hardware, binocular vision sensor is added on the basis of traditional system, and the hardware circuit of the system is optimised and modified. In software, accurate road information is obtained by binocular vision technology, and automatic driving route is planned. In the process of automatic driving, the function modules of dynamic driving state detection and vehicle path control navigation, memory and human-computer interaction unit are optimised. The experimental results show that the optimisation system has a 39% improvement in the success rate compared to the traditional navigation system, and the confidence level is improved by 8.06%. It is a navigation system having higher function to achieve success rate and confidence.

Suggested Citation

  • Dongliang Wang & Guodong Yin & Nan Chen, 2021. "Optimisation of dynamic navigation system for automatic driving vehicle based on binocular vision," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 39(3), pages 411-428.
    • Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:411-428
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