Rahman, Md. KhalilurSabuj, Saifur RahmanKhan, Shahidul IslamSakib, Md. Fahim ShahriarAnik, Md. Faysal AhmedAhmed, S.K ShahriarKhandakar, Sahadat2019-05-152019-05-1520192019-04ID 13321041ID 11221002ID 13321037ID 13321058http://hdl.handle.net/10361/12055Cataloged from PDF version of thesis.Includes bibliographical references( pages 59-60).This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019.In this modern era of transportation we are experiencing the best utilization of technology in our daily life though using different types of advance vehicles. If we look at the transportation industry one similar thing we can easily locate among all the giant vehicle manufacturing companies that is autonomy. As applying autonomy in the transportation system is the next revolution in vehicle market so almost every renowned companies from different corner of the world trying to integrate driverless vehicle control operation in their new designs. In this process the control part is the main focused area to achieve maximum percentage of accuracy. In this following research paper we are also focusing on development of control system of a driverless car. Applying CAN Bus networking system ensures a smooth data transfer. Integrating different sensors like Kinect, Camera, high resolution ultrasonic range finder, human movement detection sensor etc. into one single system makes the design unique. Image processing operation helps the system to take correct decision about mobility, obstacle avoidance and lane detection. Critical experimental analysis of the system helps us to measure the parameters of accuracy in real life scenario.60 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Electric carSemi autopilot systemCAN Bus networking systemSensorsElectric automobilesThesis