Title: Optimisation of dynamic navigation system for automatic driving vehicle based on binocular vision
Authors: Dongliang Wang; Guodong Yin; Nan Chen
Addresses: School of Mechanical and Electrical Engineering, Sanjiang University, Jiangsu Nanjing, 210012, China ' School of Mechanical Engineering, Southeast University, Jiangsu Nanjing, 211189, China ' School of Mechanical Engineering, Southeast University, Jiangsu Nanjing, 211189, China
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.
Keywords: binocular vision; automatic driving; vehicle navigation; dynamic navigation; system optimisation.
DOI: 10.1504/IJISE.2021.119705
International Journal of Industrial and Systems Engineering, 2021 Vol.39 No.3, pp.411 - 428
Received: 23 Aug 2019
Accepted: 01 Dec 2019
Published online: 16 Dec 2021 *