Abstract
The traffic sign recognition system is a support system that can be useful to give notification and warning to drivers. It may be effective for traffic conditions on the current road traffic system. A robust artificial intelligence based traffic sign recognition system can support the driver and significantly reduce driving risk and injury. It performs by recognizing and interpreting various traffic sign using vision-based information. This study aims to recognize the well-maintained, un-maintained, standard, and non-standard traffic signs using the Bag-of-Words and the Artificial Neural Network techniques. This research work employs a Bag-of-Words model on the Speeded Up Robust Features descriptors of the road traffic signs. A robust classifier Artificial Neural Network has been employed to recognize the traffic sign in its respective class. The proposed system has been trained and tested to determine the suitable neural network architecture. The experimental results showed high accuracy of classification of traffic signs including complex background images. The proposed traffic sign detection and recognition system obtained 99.00% classification accuracy with a 1.00% false positive rate. For real-time implementation and deployment, this marginal false positive rate may increase reliability and stability of the proposed system.
Highlights
The road traffic signs must be installed and placed appropriately to ensure that they are clearly visibility to the road users
Many researchers and vehicle manufacturing companies are designing autonomous vehicles [2]. These vehicles can operate without the intervention of a human driver. Such autonomous vehicles need the robust traffic sign detection and recognition system to be in place for them to operate on the road safely
We evaluated the performance of three different classifiers namely support vector machine (SVM), Ensemble subspace k-nearest neighbors (kNN), we evaluated the performance of three different classifiers namely SVM, Ensemble subspace and Artificialneural neuralnetwork network (ANN)
Summary
The road traffic signs must be installed and placed appropriately to ensure that they are clearly visibility to the road users. In many places, the visibility of road traffic signs may get obscured; drivers may unintentionally ignore them. Many researchers and vehicle manufacturing companies are designing autonomous vehicles [2]. These vehicles can operate without the intervention of a human driver. Such autonomous vehicles need the robust traffic sign detection and recognition system to be in place for them to operate on the road safely
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