Abstract
Traffic accidents are still one of the main health problems in the World. A number of measures have been applied in order to reduce the number of injuries and fatalities in roads, i.e., implementation of Advanced Driver Assistance Systems (ADAS) based on image processing. In this paper, a real time speed supervisor based on road sign recognition that can work both in urban and non-urban environments is presented. The system is able to recognize 135 road signs, belonging to the danger, yield, prohibition obligation and indication types, and sends warning messages to the driver upon the combination of two pieces of information: the current speed of the car and the road sign symbol. The core of this paper is the comparison between the two main methods which have been traditionally used for detection and recognition of road signs: template matching (TM) and neural networks (NN). The advantages and disadvantages of the two approaches will be shown and commented. Additionally we will show how the use of well-known algorithms to avoid illumination issues reduces the amount of images needed to train a neural network.
Highlights
Road traffic accidents are an important socioeconomic problem
True detections stands for the samples from the detection stage that were correctly classified as road signs
This article has shown the comparison of the most spread methods used for classification of road signs: template matching and neural networks
Summary
Road traffic accidents are an important socioeconomic problem. As the number of vehicles on the road increases so too does the number of accidents. Car c accidentts involve speed, s whicch is directlly related too an increasse in the seeverity of thhe a accident Duue to this fact, differeent initiativves have beeen taken in i order to reduce velocity wherre n necessary, thhese includde physical obstacles which w force the driver to reduce tthe speed of o the vehicle (such as sppeed humpss or roundaabouts) andd on-board d vehicle teechnologiess that may send usefu ful innformation to the driveer or take coontrol of the vehicle. Differeent initiativves have beeen taken in i order to reduce velocity wherre n necessary, thhese includde physical obstacles which w force the driver to reduce tthe speed of o the vehicle (such as sppeed humpss or roundaabouts) andd on-board d vehicle teechnologiess that may send usefu ful innformation to the driveer or take coontrol of the vehicle In n this articlle we presennt an ADAS. Thhe system warns w the drriver in the case that thhe speed of the car is over o a certaiin liimit which is given by the symboll of the roadd sign
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