Design of vehicle network reverse information feedback system based on 5G communication

In recent years, with the continuous increase in global vehicle ownership, reversing safety has become a significant challenge in road traffic safety [1]. According to statistics, the proportion of traffic accidents caused by reversing has been rising year by year. Traditional reversing assistance technologies, such as rear-view mirror observation and reversing cameras, have limitations in complex environments, including large blind spots and delayed information, which fail to adequately meet the growing safety demands. This control system adopts a deeply integrated design of software and hardware. The hardware part uses a high-performance microcontroller as the core control unit, paired with an ultrasonic sensor array, audio-visual alarm devices, and a braking execution module. The sensor is responsible for collecting distance data, while the buzzer issues graded warnings based on preset thresholds. When a dangerous distance is reached, the relay responds quickly to intervene in the vehicle's braking system. On the software side, the system integrates advanced distance measurement algorithms and user interaction interfaces. The former ensures the accuracy of distance calculations through data optimization, while the latter allows users to customize alarm thresholds, braking trigger conditions, and other parameters on their mobile devices, with real-time display of the vehicle surroundings. Practical applications have shown that this system is easy to operate and responds swiftly, providing comprehensive safety protection during reversing through multimodal alerts and intelligent braking mechanisms.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.1117/12.3073951
Primary Topic
Traffic Prediction and Management Techniques
Type
article
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article

Design of vehicle network reverse information feedback system based on 5G communication

Wenjia Chen, Ye Li, Xiaoyan Li, Jizhong Zhao
Traffic Prediction and Management Techniques
article

Design of vehicle network reverse information feedback system based on 5G communication

Wenjia Chen, Ye Li, Xiaoyan Li, Jizhong Zhao
article en

Abstract

In recent years, with the continuous increase in global vehicle ownership, reversing safety has become a significant challenge in road traffic safety [1]. According to statistics, the proportion of traffic accidents caused by reversing has been rising year by year. Traditional reversing assistance technologies, such as rear-view mirror observation and reversing cameras, have limitations in complex environments, including large blind spots and delayed information, which fail to adequately meet the growing safety demands. This control system adopts a deeply integrated design of software and hardware. The hardware part uses a high-performance microcontroller as the core control unit, paired with an ultrasonic sensor array, audio-visual alarm devices, and a braking execution module. The sensor is responsible for collecting distance data, while the buzzer issues graded warnings based on preset thresholds. When a dangerous distance is reached, the relay responds quickly to intervene in the vehicle's braking system. On the software side, the system integrates advanced distance measurement algorithms and user interaction interfaces. The former ensures the accuracy of distance calculations through data optimization, while the latter allows users to customize alarm thresholds, braking trigger conditions, and other parameters on their mobile devices, with real-time display of the vehicle surroundings. Practical applications have shown that this system is easy to operate and responds swiftly, providing comprehensive safety protection during reversing through multimodal alerts and intelligent braking mechanisms.

Dalian University of Technology (CN)
Openalex Percentile: Top 74%
Traffic Prediction and Management Techniques
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Design of vehicle network reverse information feedback system based on 5G communication — Wenjia Chen, Ye Li, et al. · (2025) | TGRS Research Map | TGRS