SELF-DRIVING CAR USING LIDAR SENSING AND IMAGE PROCESSING

The self-driving vehicle reduces the driver's need and is subsequently suitable for people, such as older people, children, or individuals with disabilities, who are unable to drive. The main goal of this research is to develop a self-driving system by using the machine learning and deep learning approaches such as Convolutional Neural Network (CNN), Mask Regional Convolutional Neural Network (Mask RCNN). The developed system is capable of driving itself with minimal human input by using GPS while moving in particular lane by determining lane lines, detecting the obstacles in the path of it, recognize different objects and follow the road rules like traffic light and traffic signs and driving safely in different environmental conditions by avoiding accidents.