Our objective is to analyze the movement of the self-driving vehicle based on the source and destination given by the user and the challenges faced during the motion of the self-driving vehicle. The movement is based on camera angles and the path determined by the path outlining algorithm used. Movement is based on the trajectory motion captured from the dynamic environment of the desired path. Challenges faced during the motion of the vehicle include object intrusion, pedestrian detection, cyber-attacks and efficient car parking. We implement it by a model where the model gets trained to detect the distance, speed, Red, orange, Green values. Using this we assign some states where the zero represents the car to stop or one represents the car to move. In this paper, we make the model of self-driving cars to detect the distance, speed, R, G, O values and make the car autonomous for the movement.
