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Home News The Development of Automatic Steering System Aims to Keep Cars on Track
The Development of Automatic Steering System Aims to Keep Cars on Track
Tuesday, 10 February 2009 09:25
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Minimizing Car Accident due to Human Error

Even-though there are a lot of signs placed on the street, the number of traffic accidents is still high. Human error is still expected to be the main factor. Responding this fact, Liliek Wijayanti was motivated to develop technology that that can reduce the number of traffic accident.
Liliek Wijayanti was motivated to develop technology that can reduce the number of traffic accident

Initially, she was inspired by her anxiety in knowing that a lot of drivers easily disobey the signs and hit the other drivers. The causes are varied ranges from feel sleepy, get drunk, or disobey the signs.

Being encouraged by her supervisor, Liliek Wijayanti decided to develop a line keeping assistance system. The tool can keep the pace of the car to remain on the line. Then, she developed a prototype that can implement the system. “This is just a basic concept.  So, I make a car prototype equipped with the system. I worked for 6 months to set up everything started from conception. 

Her car prototype is equipped with DC motor as a mobilizer. The motor is then connected to potentiometer that will activate analog to digital system useful to data processing in microprocessor. That car prototype is also equipped with webcam that functions to capture the image used for controlling.

Both camera and microprocessor are connected to the computer that will control the process. From there, the command to move the car will be transmitted. The test drive is conducted on the line with red color. “As data processing, I used software C++ and OpenCV to enable the webcam in capturing the red image. While hough transform is used to identify the right track calculation,“ Lili added.

The sequence started from the image input received by webcam. When the car is moving and the system is fully activated, webcam will capture the track image. The image will then be transmitted to computer and filtered to recognize red image. The hough transform program will transform the red line into white line pixel.  There are 2 pixel lines because the signs are located at left and right side of the track.

The hough transform’s pixel line was then retransformed to original image via webcam. The four points will then be identified to determine the center of the track. “This center will be used as reference so that car will not run away from the track,” said Liliek who is When the car passes the zigzag track, the camera will input the image and immediately processed by computer. If the center point of image is located on the right side of the reference point, the wheels will automatically shift to left and vice versa.

Source:  Jawapos, 10 Pebruari 2009

citated from www.ubaya.ac.id