Pavement grade recognition algorithm based on sprung mass acceleration

Xiang Ji; Yuzheng Zhang; Yahong Li; Mingming Dong

doi:10.1117/12.3005789

10 October 2023 Pavement grade recognition algorithm based on sprung mass acceleration

Xiang Ji, Yuzheng Zhang, Yahong Li, Mingming Dong

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127990C (2023) https://doi.org/10.1117/12.3005789
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

As the input of vehicle suspension system, road excitation directly affects the dynamic response of the system, and then affects the vehicle ride comfort, handling stability and reliability and other indicators. In the field of active suspension control, the road grade recognizer provides road feedforward information to the active suspension control algorithm. For semi-active suspension control, the result of road grade recognition affects the adjustment of parameter weight, and then determines the direction of vehicle ride comfort or handling stability. Therefore, with the development of intelligent vehicles, more and more attention has been paid to the research of pavement grade recognition methods. In this paper, a pavement grade recognition algorithm based on suspension dynamic response is proposed. By extracting the features of sprung mass acceleration signals and inputting them into probabilistic neural network (PNN) for training, a pavement grade recognition classifier is obtained. Finally, through the test set data, it is verified that the classifier has a high accuracy of pavement grade recognition, and can meet the requirements of semi-active suspension control.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiang Ji, Yuzheng Zhang, Yahong Li, and Mingming Dong "Pavement grade recognition algorithm based on sprung mass acceleration", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127990C (10 October 2023); https://doi.org/10.1117/12.3005789

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KEYWORDS

Roads

Education and training

Detection and tracking algorithms

Wavelet packet decomposition

Neural networks

Wavelets

Artificial neural networks

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