The Automatic Driving System project focuses on developing a program that detects road signs to ensure that drivers drive safely and comfortably. MATLAB is used in the project to process the images that are captured. The MATLAB program detects road signs, extracts the sign from the image, de-noises it, processes the sign with edge detection, shapes its parameters, and runs it in the program to identify the sign. This program is tested with a model vehicle, which runs using a microcontroller-based hardware. This feature can be used in the Google car since it uses the surroundings to move and make decisions in self-driven vehicles. The proposed project has achieved an 85%-90% success rate in recognizing road signs.
|Commitee:||Ary, James, Wang, Ray|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 56/02M(E), Masters Abstracts International|
|Subjects:||Computer Engineering, Electrical engineering|
|Keywords:||Automativ driving vehicle, Digital image processing, Road signs recognization, Sign boards recognition|
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