Wang, H.; Deng, P.; Sun, S.; Tian, G.; Li, S.; Luo, N.; Kong, C.; Zhong, J.; Peng, Y.; Liu, J. Network Optimization Based Lane Line Classification Study. Preprints2021, 2021090387. https://doi.org/10.20944/preprints202109.0387.v1
APA Style
Wang, H., Deng, P., Sun, S., Tian, G., Li, S., Luo, N., Kong, C., Zhong, J., Peng, Y., & Liu, J. (2021). Network Optimization Based Lane Line Classification Study. Preprints. https://doi.org/10.20944/preprints202109.0387.v1
Chicago/Turabian Style
Wang, H., Yiqiang Peng and Junjun Liu. 2021 "Network Optimization Based Lane Line Classification Study" Preprints. https://doi.org/10.20944/preprints202109.0387.v1
Abstract
Efficient quality evaluation provides support for the timely and good maintenance of the lane line marking. This paper searches and optimizes the back propagation(BP) network model which referred to the analytic hierarchy process(AHP) model structure, as well as the number of nodes in the middle layer network. Based on this, a comprehensive evaluation method of multi-dimensional lane line quality such as shape, color and contrast is established. The experimental results show that the parameters of the model are more simplified, and the scoring and classification results of lane lines are more accurate.
Keywords
lane line; comprehensive evaluation; BP; parameter search; maintenance
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
