Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors

Jiahao Tian

doi:10.47297/taposatWSP2633-456918.20250611

PDF
导出
分享
收藏
专辑

Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors

6卷第11期

浏览量: 0 Downloads: 0

Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors
Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors
Yantai University, Yantai, Shandong, 264005, China
2025年6卷第11期页码：96-101
纸质出版：2025-11-30
DOI：10.47297/taposatWSP2633-456918.20250611
Accepted：

Scan QR Code

Jiahao Tian. (2025). Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors. 科技理论与实践（英文版）, 6(11), 96-101.

Tian Jiahao.Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors[J].Theory and Practice of Science and Technology,2025,06(11):96-101.
Jiahao Tian. (2025). Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors. 科技理论与实践（英文版）, 6(11), 96-101. DOI： 10.47297/taposatWSP2633-456918.20250611.

Tian Jiahao.Research on Vehicle-Infrastructure Collaboration and Intelligent Connected Vehicles Supported by Sensors[J].Theory and Practice of Science and Technology,2025,06(11):96-101. DOI： 10.47297/taposatWSP2633-456918.20250611.

摘要

Abstract

With the rapid development of intelligent connected vehicles

sensor technology

as the core of environmental perception

plays a crucial role in the vehicle-road coordination system. This paper reviews the principles and performances of visual sensors

radar sensors

and other mainstream sensors

and discusses the optimization strategies of multi-sensor fusion and its application in V2X (Vehicle to Everything) communication and environmental perception algorithms. Through analyzing real cases

it reveals the potential of sensor technology in improving driving safety and traffic efficiency. The research results show that the deep integration and innovation of sensor technology is the key support for promoting intelligent connected vehicles to achieve high-level autonomous driving.

关键词

Keywords

references

Ministry of Transport, "Smart Transportation Plan for 2017-2020," Urban Road Bridges and Flood Control, vol. , no. 11 , pp. 165 , 2017 .

National Development and Reform Commission and eleven other departments, "Innovation Strategy for Intelligent Vehicles," Environmental Technology, vol. 39 , no. 1 , p. 4 , 2021 .

Ministry of Industry and Information Technology, "The first international standard for autonomous driving test scenarios (ISO 34501: 2022) jointly led by China was officially released," Commercial Vehicles, vol. , no. 10 , pp. 5 - 6 , 2022 .

H. Zou, J. Yuan, and J. Yan, Automotive Intelligent Sensor Technology and Application. Beijing: People's Posts and Telecommunications Press, 2024, p. 234 .

N. Senel, K. Kefferpütz, K. Doycheva, et al., "Multi-sensor data fusion for real-time multi-object tracking," Processes, vol. 11 , no. 2 , p. 501 , 2023 .

D. J. Yeong, K. Panduru, and J. Walsh, "Exploring the unseen: A survey of multi-sensor fusion and the role of explainable ai (xai) in autonomous vehicles," Sensors, vol. 25 , no. 3 , p. 856 , 2025 .

Z. Liu, "Intelligent Connected Vehicle Sensor Detection and Positioning Technology and Driving Test," Agricultural Machinery Use and Maintenance, vol. , no. 6 , pp. 108 - 111 , 2025 .

A. A. AlZubi, A. Alarifi, M. Al-Maitah, et al., "Multi-sensor information fusion for Internet of Things assisted automated guided vehicles in smart city," Sustainable Cities and Society, vol. 64 , p. 102539 , 2021 .

K. Li, "Optimization Path of Intelligent Connected Vehicle Environmental Perception System Based on Multi-source Fusion," Special Vehicles, vol. , no. 4 , pp. 81 - 83 , 2025 .

Z. Tang, "Research on the Application of Environmental Perception System in Intelligent Connected Vehicles," Internal Combustion Engine and Accessories, vol. , no. 12 , pp. 111 - 113 , 2024 .

M. Hasanujjaman, M. Z. Chowdhury, and Y. M. Jang, "Sensor fusion in autonomous vehicle with traffic surveillance camera system: detection, localization, and AI networking," Sensors, vol. 23 , no. 6 , p. 3335 , 2023 .

X. Qiang and L. Li, "Analysis of the Application of Visual Sensors in Intelligent Connected Vehicles," Times Automobile, vol. , no. 14 , pp. 163 - 165 , 2024 .