A study on the key technologies and existing challenges in the development of autonomous vehicles

Abstract

As an emerging means of transportation, autonomous driving has great development potential and application prospects. This paper investigates relevant issues of autonomous vehicles, aiming to explore the technical principle and implementation method of autonomous driving and evaluate its performance and effect in road traffic. By analyzing the existing related research results and practical experience, this paper conducts an in-depth study on key technologies of autonomous vehicles, including sensor and sensing systems as well as decision-making and control systems. Besides, the paper also summarizes the ethical and safety problems in the course of autonomous driving development and puts forward a deep learning-based control strategy for autonomous driving. This strategy has high accuracy and stability in different scenarios and can effectively improve the safety and performance of autonomous vehicles. To sum up, this paper carries out in-depth research on autonomous vehicles and tries to propose innovative solutions in key technical fields. This study provides reliable theoretical and technical support for the development and application of autonomous vehicles and promotes progress and innovation in the field of transportation.