Advanced Techniques for Perception and Localization in Autonomous Driving Systems: A Survey

Abstract

Autonomous driving research has progressed significantly in recent years. In order to travel safely, comfortably, and effectively, an autonomous car must completely comprehend the driving scenario at all times. The key criteria for a comprehensive understanding of the driving situations are proper perception and localization. The research on perception and localization of autonomous cars has increased substantially as a result of recent breakthroughs in AI, such as the wide range of deep learning approaches. However, owing to environmental uncertainties, sensor noise, and the complex interaction between the parts of the driving environment, additional study is required to achieve totally trustworthy perception and localization systems. In this survey, we demonstrate the advanced perception and localization processes in the field of autonomous driving. We show how cutting-edge approaches and practices have brought today’s autonomous cars closer than ever to completely comprehending the driving environment.