Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology

Xuanyu Lin

2024

Abstract

With the continuous development of artificial intelligence, deep learning and sensor technology, autonomous driving based on multi-sensor information fusion technology has become the vital research direction of the automobile industry. This paper analyzes the multi-sensor information fusion technology and introduces the visual sensors and radar sensors commonly used in autonomous driving in detail. This paper concludes that multi-sensor technology has the characteristics and advantages of obtaining information more quickly, high real-time performance and high system robustness. Moreover, this technology effectively improves the shortcomings of traditional single sensors, such as single information acquisition, low accuracy and poor real-time performance, and makes a good foundation for the development of autonomous driving technology. At the same time, many studies have shown that multi- sensor information fusion technology has important significance and far-reaching influence in the three fields of road information perception, automatic parking technology and vehicle safety systems in autonomous driving. However, multi-sensor information fusion technology is a multi-domain, multitheoretical and interdisciplinary technology, so it is still facing various challenges in applying it to autonomous driving functions.

Paper Citation

in Harvard Style

Lin X. (2024). Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 196-200. DOI: 10.5220/0012849500004547

in Bibtex Style

@conference{icdse24,
author={Xuanyu Lin},
title={Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={196-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012849500004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Research on Autonomous Driving Based on Multi-Sensor Information Fusion Technology
SN - 978-989-758-690-3
AU - Lin X.
PY - 2024
SP - 196
EP - 200
DO - 10.5220/0012849500004547
PB - SciTePress