In this paper it is discussed about the Reduced-scale mobile robots (RSMRs) which have gained popularity as a research tool for autonomous driving systems. Along with being more affordable and compact, these smaller robots provide a number of benefits, such as the capacity to test technology in real-world settings with less regulatory obstacles. Up until now, there hasn't been a comprehensive analysis of the application of RSMRs in autonomous driving research, despite their widespread use. We analyze the main techniques applied in the three main domains of autonomous driving: perception (the robot's process of obtaining information from its surroundings), decision-making (the process by which it chooses its next course of action), and actuation (the process by which it carries out its actions). We also look at the primary uses investigated in this research, including parking, navigation and obstacle avoidance, vehicle coordination and hands-free driving.