Advancements and Challenges in Intelligent Driving Technology: From Evolution to Future Prospects

Xuenuoyang Zong

2024

Abstract

This paper provides an overview of the current challenges and advances in intelligent driving technology, focusing on the rapid developments in the fields of computer technology, artificial intelligence, and machine learning that are driving the development of self-driving cars. The emergence of advanced processors, sensors, and data processing capabilities has greatly enhanced the performance of intelligent driving systems. This paper also explores the benefits of smart driving technologies in improving road safety, reducing traffic congestion and optimising transport efficiency. It highlights global efforts to promote smart driving through supportive policy and regulatory frameworks, and provides support for automotive companies to access growth opportunities in the field. Further, the article traces the evolution of autonomous driving technology between its early conception in 1969 and actual testing in the late 20th century, categorised into different levels of automation. The article also examines some of the self-driving cars available in the market and their related technologies such as connectivity solutions, machine learning processors, and sensor fusion technologies, and provides insights into various applications such as semantic segmentation, target detection, and obstacle avoidance based on deep learning approaches in automated navigation scenarios, which are important in enhancing driving safety and navigation functions. By discussing the limitations of intelligent driving technology and future prospects including complex road conditions, legislative issues, liability and interpretability challenges, this paper highlights the need for continued research and development in this area and summarises areas where future research and progress may be involved.

Paper Citation

in Harvard Style

Zong X. (2024). Advancements and Challenges in Intelligent Driving Technology: From Evolution to Future Prospects. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 517-521. DOI: 10.5220/0012958100004508

in Bibtex Style

@conference{emiti24,
author={Xuenuoyang Zong},
title={Advancements and Challenges in Intelligent Driving Technology: From Evolution to Future Prospects},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={517-521},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012958100004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Advancements and Challenges in Intelligent Driving Technology: From Evolution to Future Prospects
SN - 978-989-758-713-9
AU - Zong X.
PY - 2024
SP - 517
EP - 521
DO - 10.5220/0012958100004508
PB - SciTePress