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A Vehicle Detection Algorithm for the Application of Road Safety

Chee Yew Tung, Sim Kwok Swee, and Em Poh Ping
Faculty of Engineering & Technology, Multimedia University, Malacca, Malaysia

Abstract—Preventing road accidents from happening can be done by using the protective features available in vehicle such as seat belt and air bag. However, an act of prevention does nothing in reducing the rate of death on the road. An industrial camera is used to capture the image of the target vehicle in front of the vehicle installed with the camera in this paper. The method introduced inside the paper will be applied onto the raw data obtained from the camera. With the data obtained displayed inside the software MATLAB, the mathematical calculation of distance estimation is carried out inside the vehicle detection algorithm, thus, assisting the driver in the process of driving on the road. The reliability and the accuracy of the vehicle detection algorithm for the application of road safety can be further boosted by applying method of image processing onto the data obtained through the industrial camera.

Index Terms—image processing, vision-based, vehicle detection

Cite: Chee Yew Tung, Sim Kwok Swee, and Em Poh Ping, "A Vehicle Detection Algorithm for the Application of Road Safety," Jounal of Automation and Control Engineering, Vol. 4, No. 5, pp. 393-396, October, 2016. doi: 10.18178/joace.4.5.393-396
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