A Review of Methods for Applying Object Detection to Intelligent Driving

Yilin Mei

2025

Abstract

Nowadays, intelligent driving attracts much attention as an emerging industry due to its convenience and the novel feeling it brings to people. However, there are also newspapers reporting that intelligent driving often results in loss of control and causes traffic accidents, which raises public concerns about the safety of this cutting-edge technology. In that case, this article aims to explain the causes of this phenomenon by deeply exploring the very important object detection technology in intelligent driving. Hence, through analyzing the development history, this article is able to illustrate the different solutions of target detection from two-stage target detection (represented by Faster R-CNN), Single-stage target detection (represented by YOLO), to self-attention mechanisms in Transformer and some other methods. Besides, it can also interpret the technical principles, advantages and difficulties faced by these methods. Through comparison and analysis, this article can help readers understand how target detection influences the environmental perception and safety of intelligent driving vehicles, thereby providing references for subsequent research, algorithm optimization, and industrial applications in this field.

Paper Citation

in Harvard Style

Mei Y. (2025). A Review of Methods for Applying Object Detection to Intelligent Driving. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 490-495. DOI: 10.5220/0014361700004718

in Bibtex Style

@conference{emiti25,
author={Yilin Mei},
title={A Review of Methods for Applying Object Detection to Intelligent Driving},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={490-495},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014361700004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - A Review of Methods for Applying Object Detection to Intelligent Driving
SN - 978-989-758-792-4
AU - Mei Y.
PY - 2025
SP - 490
EP - 495
DO - 10.5220/0014361700004718
PB - SciTePress