Authors: Hongwei Yang; Zhenyi Chen; Xu Sun
Addresses: School of Information, Southwest Petroleum University, Nanchong 637000, China ' School of Information, Southwest Petroleum University, Nanchong 637000, China ' School of Information, Southwest Petroleum University, Nanchong 637000, China
Abstract: Aiming at the problems of low obstacle avoidance accuracy and long obstacle avoidance time in the traditional obstacle avoidance system, an automatic reversing intelligent obstacle avoidance system based on optical fibre sensor is designed. The system hardware consists of optical fibre sensor module, power module, microprocessor, display output module and voice alarm module. The wavelet packet analysis method is used to extract the obstacle features in the process of automatic reversing. According to the feature extraction results, the optical fibre sensor is used to measure the distance, calculate the spatial position of the obstacle features in the process of automatic reversing, so as to realise automatic reversing and intelligent obstacle avoidance. The simulation results show that the maximum obstacle avoidance deviation of the designed system is 0.8 mm, which is much smaller than that of traditional obstacle avoidance systems; the obstacle avoidance response time of the proposed system is only 18 s, which is also much smaller than other systems. The proposed method exhibits higher obstacle avoidance accuracy, shorter obstacle avoidance response time, and excellent application performance.
Keywords: optical fibre sensor; auto reverse; intelligent obstacle avoidance; voice alarm module; wavelet packet analysis.
International Journal of Vehicle Information and Communication Systems, 2022 Vol.7 No.4, pp.321 - 335
Received: 15 Oct 2021
Accepted: 21 Feb 2022
Published online: 15 Feb 2023 *