Key Ingredients of Self-Driving Cars

TL;DR

This paper provides a comprehensive overview of autonomous cars, covering automation levels, sensors, software, datasets, industry leaders, applications, and challenges, to synthesize key components of self-driving technology.

Contribution

It offers a broad, up-to-date summary of essential elements and current challenges in autonomous vehicle technology, filling a gap in integrated knowledge.

Findings

Summarizes key ingredients of autonomous cars.

Highlights current challenges in self-driving technology.

Provides an overview of industry leaders and datasets.

Abstract

Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area, such as visual environment perception, vehicle control, etc. Furthermore, due to fast advances in the self-driving car technology, such articles become obsolete very fast. In this paper, we give a brief but comprehensive overview on key ingredients of autonomous cars (ACs), including driving automation levels, AC sensors, AC software, open source datasets, industry leaders, AC applications and existing challenges.