汽车智能检测中的多传感器融合技术演进与趋势分析  

Evolution and Trend Analysis of Multi-sensor Fusion Technology in Automotive Intelligent Detection

作　　者：徐志斌 Xu Zhibin

机构地区：[1]武汉船舶职业技术学院,湖北武汉430050

出　　处：《时代汽车》2025年第7期154-156,共3页Auto Time

摘　　要：为了提升汽车安全性、可靠性和驾驶体验,本文以汽车智能检测系统为研究对象,通过介绍多传感器融合技术在该领域的应用,提出了基于多传感器融合的智能检测方案。文章首先探讨了多传感器融合技术的演进历程、基本原理与方法,随后分析了其在自动驾驶、驾驶辅助系统和故障诊断等领域的具体应用。研究结果表明,随着传感器技术和数据融合算法的不断发展,采用多传感器融合技术能够有效克服单一传感器的局限性,显著提升系统的检测精度、稳定性和实时响应能力。本文的研究为未来汽车智能检测技术的优化与创新提供了理论支持,并为相关领域的发展提供了借鉴。In order to improve the safety,reliability and driving experience of automobiles,this paper takes the automotive intelligent detection system as the research object,introduces the application of multi-sensor fusion technology in this field,and proposes an intelligent detection scheme based on multisensor fusion.This paper first discusses the evolution,basic principles and methods of multi-sensor fusion technology,and then analyzes its specific applications in the fields of autonomous driving,driver assistance systems and fault diagnosis.The results show that with the continuous development of sensor technology and data fusion algorithm,the use of multi-sensor fusion technology can eff ectively overcome the limitations of a single sensor and significantly improve the detection accuracy,stability and real-time response ability of the system.The research in this paper provides theoretical support for the optimization and innovation of future automotive intelligent detection technology,and provides a reference for the development of related fields.

关 键 词：多传感器融合 智能检测 自动驾驶 汽车安全 故障诊断 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]