In the advanced period, vehicles are intended to be robotic to allow humans to drive freely. In the automotive field, different points of view have been taken into account to make the vehicle robotic. In this project, thinking about the distinctive highlights, regardless of the cost, on a small scale, a mechanical model of a three-wheeled vehicle has been described that will follow the path and escape the deterrents. Autonomous vehicles are a creative innovation that could become the next major development in personal transportation. This report begins by describing the scene and key players in the autonomous automobile showcase. Current capabilities, as well as restrictions and opportunities for key progress in empowerment, are examined alongside a debate on the effect of this progress on society and the earth. Most of the effects, including decreased movement and stop blocking, autonomous versatility for poor people, increased safety, vitality preservation, and decreased contamination, can be remarkable when autonomous vehicles eventually become normal and reasonable for average people. Raspberry Pi is the central processor of our self-driving car. Different images are captured by the camera module on these images, different image processing methods are used to realize artificial intelligence. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essay. Traffic light and sign detection helps autonomous locomotives in industries by providing the required commands to facilitate a flexible manufacturing system. Autonomous locomotives in industry are used for material handling. Automatic sign recognition guides autonomous locomotives to move in the right direction. The trajectory tracking of autonomous locomotives is described by the steering control system. The main objective is to design a method of steering control system for autonomous locomotives by reorganization of signaling and traffic lights. The system provides an efficient locomotive system in a flexible manufacturing environment. Image processing techniques are used to regulate road signs and control certain actions. The input to the system is video data which is continuously captured by a web camera interfaced to the Raspberry Pi via an open CV platform in which the Raspbian operating system is used. The images are preprocessed with several image processing techniques, such as HSV color space model techniques used for traffic light detection, sign detection against HSV color space model and algorithm contours were used. Signs are detected based on the region of interest (ROI). The ROI is detected based on features such as the geometric shape and color of the object in the image containing the traffic signs. The steering control system uses DC motors and motor drives to operate. Gurjashan Singh Pannu et al, proposed a “Design and Implementation of a Self-Driving Car Using Raspberry Pi”, the summary is as follows: 64-beam Elodyne laser produces a detailed 3D guide of the surroundings. . The automobile then joins laser estimates with high-resolution world maps creating various types of data models that allow it to drive itself while maintaining a.