Composition and Application of Current Advanced Driving Assistance System: A Review

TL;DR

This review summarizes the hardware, sensors, algorithms, and applications of advanced driving assistance systems (ADAS), highlighting recent progress, challenges, and future development directions in the field.

Contribution

It provides a comprehensive overview of ADAS components, compares sensor types, reviews current algorithms, and discusses future trends, especially in China.

Findings

Different sensors have specific advantages and limitations for ADAS functions.

Traditional and novel algorithms are used for ADAS perception and decision-making.

Future ADAS development in China is actively explored.

Abstract

Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price. The latest progress in this field has called for a review to sum up the conventional knowledge of ADAS, the state-of-the-art researches, and novel applications in real-world. With the help of this kind of review, newcomers in this field can get basic knowledge easier and other researchers may be inspired with potential future development possibility. This paper makes a general introduction about ADAS by analyzing its hardware support and computation algorithms. Different types of perception sensors are introduced from their interior feature classifications, installation positions, supporting ADAS functions, and pros and cons. The comparisons between different sensors are concluded and illustrated from their inherent characters and specific usages serving for each ADAS function. The current algorithms for ADAS functions are also collected and briefly presented in this paper from both traditional methods and novel ideas. Additionally, discussions about the definition of ADAS from different institutes are reviewed in this paper, and future approaches about ADAS in China are introduced in particular.