SHS Web Conf.
Volume 144, 20222022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
|Number of page(s)||6|
|Section||Application of Artificial Intelligence Technology and Machine Learning Algorithms|
|Published online||26 August 2022|
Research on the Optimal Machine Learning Classifier for Traffic Signs
University of Macau, Faculty of Science and Technology, Macau, 999078, China
* Corresponding author. Email: firstname.lastname@example.org
Now autonomous driving is a hot topic, and the identification of traffic signs is also extremely important for autonomous driving. This paper mainly compares the difference of the Support Vector Machine (SVM), Multilayer Perceptron (MLP), and Logistic Regression (LR) Classifier in the traffic sign classification. The effect of the initial image processing on classification accuracy is also studied. The paper found that sharpening the image significantly improved the accuracy of the image classification. Based on the results of various situations, the author found that, in this paper, SVM is the classifier with the best classification effect, but the effect of LR classifier is not much worse than that of SVM when the image is sharpened.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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