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自动泊车作为车联网应用的关键环节，在复杂环境下仍面临感知能力不足、定位精度低等挑战。超宽带(Ultra-Wideband, UWB)定位技术凭借其厘米级精度、强抗多径干扰与高鲁棒性，为提升自动泊车系统的环境感知与定位能力提供了有效解决方案。系统综述了UWB定位技术与自动泊车系统的融合研究进展，重点分析了UWB在复杂场景下的技术优势、多传感器融合策略、动态环境适应性优化及算法实时性增强等核心问题。研究表明，UWB与视觉、惯性导航等传感器的深度融合及智能算法的应用，是提升自动泊车系统性能的关键路径。对UWB在自动泊车中的全面应用进行了深度剖析，为相关技术发展与产业化落地提供了理论参考。
Abstract：Automatic parking, as a critical component of internet of vehicles applications, still faces challenges such as insufficient perceptual capability and low positioning accuracy in complex environments.Ultra-Wideband(UWB) positioning technology, with its centimeter-level accuracy, strong resistance to multipath interference, and high robustness, provides an effective solution for enhancing the environmental perception and localization capabilities of automatic parking systems.This study systematically reviews recent research advances in the integration of UWB positioning technology with automatic parking systems, with emphasis on its technical advantages in complex scenarios, multi-sensor fusion strategies, optimization for dynamic environmental adaptability, and enhancement of algorithmic real-time performance.The study demonstrates that the deep integration of UWB with vision, inertial navigation and other sensors, along with the application of intelligent algorithms, constitutes a key pathway for improving the performance of automatic parking systems.This work presents in-depth analysis of the comprehensive application of UWB in automatic parking, offering a theoretical reference for subsequent technological development and industrial implementation.
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基本信息:
中图分类号:TN925;U463.6
引用信息:
[1]白峻臣,吴屹昂,吴琼.车联网中基于UWB定位的自动泊车技术研究综述[J].无线电工程,2026,56(02):179-203.
基金信息:
国家自然科学基金(61701197); 江苏省基础研究计划项目(BK20252084); 江南大学省级创新创业训练计划项目(S202510295051)~~
2025-12-08
2025-12-08
2025-12-08