Computer Vision Based Safe Driving Assistance System

• Main Authors: sunSun Rui-Hong, 孫瑞鴻
• Other Authors: Chen Shih-Nung
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/76473436957438973249

碩士 === 亞洲大學 === 資訊工程學系碩士班 === 96 === Nowadays, there have been very frequent traffic accidents, and the reason of frequent traffic accidents could be that drivers are not sufficiently concentrated and didn’t pay attention to neighboring conditions so that tragedy is brought about. Especially, when it is at the blind-spots of vehicle and one cannot see clearly, which is oftentimes the main reason why accident occurs. Though there is rear mirror for one to see the traffic on the left, right, and the right rear, there are still blind-spots within the domain. Thus, if the driver is not careful enough and there is car coming with fast-speed, one could not have enough time to respond when one has seen something from the rear mirror, and accidents have thus occurred. Therefore, if there could certain computer-assisted equipment to monitor the neighboring distance of cars, and gives real-time response to the driver to caution cars coming in dangerous distance it could then effectively prevent accident. This paper has exploited to compute vision technology to develop the safe driving assistance system for car, which will analyze the distance of neighboring vehicles against one’s vehicle to see if they are too close, or they are of dangerously fast-approaching vehicles. Then, the driver will be cautioned at once so as to assist the driver to pay attention to the distance of his car to neighboring cars. Under the assistance of this system, it can help enhance the alertness of the drivers, and ensure the safety of their life and property. The proposed system can use a general digital camera to analyze the real-time picture to obtain car-lane position and the position of cars. Afterwards, scale measurement will be used to calculate the distance, and the information is transformed into a 2D vertical view so that the drivers can receive the information more quickly. Thus, it would help achieve the objective of warning alert for safety distance in driving.