An Overview about Emerging Technologies of Autonomous Driving

TL;DR

This paper provides a comprehensive overview of autonomous driving technologies, discussing key components like perception, mapping, prediction, and safety, within a data closed loop framework to address complex challenges.

Contribution

It offers a detailed survey of technical aspects and open problems in autonomous driving, emphasizing the data closed loop approach for integrating system components.

Findings

Identifies major fields of autonomous driving systems.

Highlights open problems and challenges.

Proposes the data closed loop framework for system integration.

Abstract

Since DARPA started Grand Challenges in 2004 and Urban Challenges in 2007, autonomous driving has been the most active field of AI applications. This paper gives an overview about technical aspects of autonomous driving technologies and open problems. We investigate the major fields of self-driving systems, such as perception, mapping and localization, prediction, planning and control, simulation, V2X and safety etc. Especially we elaborate on all these issues in a framework of data closed loop, a popular platform to solve the long tailed autonomous driving problems.