1 Introduction
Consumers all around the whole world are enthusiastic about the advent of autonomous cars for public. An autonomous car can operate without human control and does not require any human intervention. Campbell et al. stated that modern autonomous vehicles can sense their local environment, classify different kinds of objects that they detect, can interpret sensory information to identify appropriate navigation paths whilst obeying transportation rules. Considerable advancements have been made in giving an appropriate response to unanticipated circumstances where either a backlash can occur in the vehicular systems or some medium in the external environment may not behave as predicted by internal prototypes. To carry out successful autonomous navigation in such situations, combining a variety of technologies from different disciplines that span computer science, mechanical engineering, electronics engineering, electrical engineering, and control engineering, etc. is significant (Deshpande, 2014). The time line of autonomous cars begins in 1926 with world's first radio controlled car- ‘Linriccan Wonder'. Significant advances in autonomous car technology has been made after the advent of the vision guided Mercedes-Benz robotic Van in 1980, since when the main focus has been on vision guided systems using LIDAR, radar, GPS and computer vision. This developed into the autonomous technologies present in modern cars like adaptive cruise control, lane parking, steer assist etc. And, in the future, we will be part of a future where fully autonomous cars will be a reality, based on official forecasts by various automobile companies.