Autonomous Vehicle: Challenges and Implementation

Abstract

Autonomous vehicles are the upcoming smart vehicles expected to be efficient, crash avoiding and driver less ideal urban vehicle. To attain this goal many organizations started research in this field to solve the real time problems faced during the development of autonomous vehicles. The first challenge in this phase is to customize the existing technology to develop autonomous vehicle with latest technologies. The future expectation is to develop fully automated vehicle without any flaws. This can be achieved by integrating various sensors, navigation software and various control algorithms, etc. However, the challenges and uncertainties are still vast because the application of autonomous driving environment involves not only the complex automotive technology but also the human-behavior, traffic management strategies, ethics, liability, policies etc., So as the result carmaker’s does not expect to commercially launch an autonomous vehicle in less time. From the technical perception the detection of the obstacles at high speed and a long distance is one of the highest difficulties. This survey paper shows an overview of the challenges faced by the autonomous vehicle and the technological implementations applied. Based on the research works of various researchers this literature survey is carried out and it can be used for future references.