Traffic Sign Recognition for Advanced Driver Assistance using Digital Image Processing

K Ganesh, P Scholar, N Ramalingeswara Rao
unpublished
Automatic roadsigns recognition is becoming a part of advanced river assistance systems which role is to increase safety and driving comfort. The purpose of this paper is to design an intelligent wheel robot, which can recognize and follow a predefined forward sign while automatically bypassing any encountered obstacle. By distributing those forward signs, the path of the robot is determined. With this concept, an image based auto pilot system with immunity against electromagnetic interference
more » ... s constructed. The rotation of the robot for automatic target detecting is achieved by using image processing .The robot will take different signs like left, right, forward, back ward & stop according to an image. If the speed sign is detected the robot moves accordingly. Therefore, it has great flexibility for applications. The control system of the robot is integrated with programs of computer vision motion control. The image process program compares with the webcam image inputs with the forward signs features from training program to detect the forward sign. Once a forward sign is detected by image processing program image motion control program will rotate the robot to aim the forward sign and then move toward it. Similarly for remaining signs also the image process program compares with the webcam inputs and the controller will move the robot in different directions (like left, right, backward, stop) based on image. When an obstacle is detected by the IR sensors, image motion control program will launch a bypass process that means automatically the robot will take either left or right. The robot is driven with the processor ARM7, where all the instructions are given through c coding and emulating in the processor. Zigbee is used as wireless communication device for the robot to act for the instructions given.
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