Car Traffic Sign Annunciator

Automatic detection and recognition of traffic signs is an essential part of automated driver assistance systems which contribute to the safety of the drivers, pedestrians and vehicles. This paper presents the advanced driver assistance system (ADAS) based on Raspberry pi for traffic sign detection, recognition and annunciation. Such a system presents a vital support for driver assistance in an intelligent automotive. The proposed algorithm is implemented in a real time embedded system using OpenCV library. Proposed method introduced a new method for detection and recognition of traffic signs. Firstly, Potential traffic signs regions are detected by colour segmentation method, then classified using HOG features and a linear SVM classifier to identify the traffic sign class. The proposed system shows good recognition rate under complex challenging lighting and weather conditions. Experimental results on the accuracy of the road sign detection are reported in this paper

Enhancement of A Road Sign Board Using Wireless Sensors

Road sign Detection and recognition is a real time system. It is also known as a Driver Assistant System(DAS) and it is one of the key technologies of Intelligent Transportation Systems (ITS). This System is being more and important with improving urban scale and increasing number of vehicles. Previous researches on this topic focus mainly on sign board detection with its color or shape. In this work, we present results of an attempt to locating traffic signs with wireless sensor networks which is useful to the driver to provide information regarding the traffic rules, instructions and information given on the road at the time of driving irrespective of the weather condition or any obstacle which may make sign boards difficult to see for drivers. DOI: 10.17762/ijritcc2321-8169.15069