使用机器学习算法的交通标志检测

Yugam Bajaj and Shallu Bashambu
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引用次数: 2

摘要

随着汽车工业的快速发展和发展,我们每个人都拥有自己的自动驾驶汽车的那一天已经不远了。尽管制造一辆完全验证的自动驾驶汽车也面临着相当大的挑战。摆在我们面前的主要挑战是,如何将最新的技术和进步融入到我们现有的传统交通工具中。本文讨论了一种我们可以将这种技术整合到我们的车辆中,以指导传统车辆在未来成为自动驾驶车辆。用户将能够对道路上的交通标志进行分类,这将帮助他/她理解该标志的含义,即驾驶员在该特定道路上驾驶时必须遵守的规则。我们在数据集上使用机器学习分类算法,如k近邻,随机森林和支持向量机,来计算过程中的最佳精度。
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Traffic Signs Detection Using Machine Learning Algorithms
With the rapid advancement and developments in the Automobile industry, that day is not far when each of us would be owning their own Autonomous Vehicle. Although manufacturing of a full proof Autonomous Vehicle has its own fair share of challenges. The main challenge that lies in front of us, is imbibing the latest technologies and advancements into the conventional vehicles we already have. This paper discusses one such technology that we can incorporate in our vehicle, to direct the Conventional Vehicle into becoming an Autonomous Vehicle in future. The user would be able to classify Traffic Signs on Road, which would help him/her to understand what that sign signifies, i.e. what rules the driver must follow while driving on that particular road. We use Machine Learning Classification Algorithms like k-Nearest Neighbors, Random Forest and Support Vector Machine on our dataset, to compute the best accuracies in the process as well.
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