Abstract: Safety in automotives is one of the important considerations under limelight. So many efforts are also taken in this regard. Dozens of processors control every performance aspect of today’s automobiles.
While most currently available safety features utilize a wide array of sensors—principally involving microwaves, infrared light, lasers, accelerometers, or position detection—for safety applications such as front and rear warning, lane detection warning, automatic emergency braking etc.

In this paper a novel attempt has been taken to revolutionize the safety in automotive systems with the help of image processing, which aids the driver in efficient driving.

The safety feature considered is x. A high speed camera scans the image of the road scene ahead at regular instants. These images are moved to memory for further processing. Later these images go through EDGE DETECTION TECHNIQUES. This edge detection technique consists of our new algorithm which detects the lanes on the road. Then after using HOUGH TRANSFORM these lines are detected and compared with the current car position. This helps the system in placing a constant vigil on the car over its position in the lane.

This concept also aids in future revolution of automatic driving in highways. Moreover the use of high speed processors like Blackfinn processors makes it very simple to implement this system in real time.


Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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