摘要
针对室外停车场多货车相邻停放时包裹定位歧义问题,提出一种融合动态误差建模与多策略优化的定位算法。通过引入基站信号强度分段机制,动态计算包裹的误差半径,以表征位置不确定性。结合货车几何建模与多阶段聚类优化策略,有效解决包裹在重叠区域的归属歧义问题,并提升离群点分配健壮性。实验结果表明,该算法显著降低信号衰减和多车竞争对定位精度的影响,为复杂物流场景下的包裹溯源提供高精度、低延迟的技术方案。
This paper proposes an enhanced positioning algorithm integrating dynamic error modeling and multi-strategy optimization to address the ambiguity issue in parcel localization when multiple adjacent trucks are parked in outdoor parking lots.By introducing a signal strength-based weight segmentation mechanism,the algorithm dynamically calculates parcel error radii to characterize positional uncertainty.Through truck geometric modeling and a multi-stage clustering optimization strategy,the algorithm effectively resolves parcel attribution ambiguity in overlapping areas while enhancing outlier assignment robustness.Experimental results demonstrate that the algorithm significantly mitigates the impacts of signal attenuation and multi-vehicle competition on positioning accuracy.This provides a high-precision,low-latency technical solution for parcel traceability in complex logistics scenarios.
作者
萧颖诗
王芳
XIAO Yingshi;WANG Fang(Guangzhou City University of Technology,Guangzhou 510800,China)
出处
《智能物联技术》
2025年第4期148-152,共5页
Technology of Io T& AI
基金
广州城市理工学院大学生创新创业训练计划项目(JY24368)。
