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Paper Details


Dr. Dayanand G. Savakar*1 Abdulsamad I Chattarki2 Naveed R. Nagthan3

Journal Title:Global Journal of Engineering Science and Research Management (GJESRM)

Car driving itself without human intervention is a dream of the World. There are many studies about Intelligent Transport System (ITS) and Unmanned Ground Vehicle (UGV). Interest on unmanned vehicle is increasing. One of the important issues in UGV is detection of signal light, which is necessary when car is on the crossroads and intersection. This proposed system is a perfect system for safety crossing, and also it is cost effective. Therefore, there is a need for developing vision detection system for signal lights and for safe driving. There are many accidents in crossroads and crosswalk; such accidents are caused by careless driving. In this paper we present a new vision algorithm for signal light detection which has real time processing with high detection rate while using low price camera. Using this algorithm, reliability and safety for UGV and drivers will be increasing. This project is aimed at developing a method to detect brake lights of on-road vehicles by segmenting the color images and analyzing the color. The forwardfacing images are acquired and processed for suitable color identification after segmentation. This application is suitable for an autonomous (Unmanned) vehicle as well as for the guidance of driver (manned). The system should respond to the information from other vehicles, such as Detection of active Brake lights, which indicate the vehicles intended actions