全球定位系统2025，Vol.50Issue(6)：35-43,80,10.DOI:10.12265/j.gnss.2025052
一种多惯导数据的室内行人轨迹匹配算法
An indoor pedestrian trajectory matching algorithm with multiple inertial guidance data
摘要
Abstract
To address poor accuracy in existing track matching methods caused by inertial guidance data error accumulation,this study proposes an indoor pedestrian track matching algorithm using smartphone inertial sensors.The method combines inertial data characteristics with indoor environmental features to establish a targeted constraint criterion for track matching.An adaptively deformed oriented bounding box(OBB)corrects initial trajectories and independently adjusts subsequent paths.The algorithm analyzes diverse handheld postures to enhance adaptability.Experimental comparisons demonstrate that the proposed method performs robustly across trajectory types,increasing accuracy growth rates by up to 46.16%over existing approaches while meeting time-efficiency requirements for matching tasks.关键词
误差累计/多惯导数据/轨迹匹配/室内行人轨迹匹配算法/自适应机制/时间效率Key words
error accumulation/multi-inertial guidance data/trajectory matching/indoor pedestrian track matching algorithm/adaptive mechanisms/time efficiency分类
天文与地球科学引用本文复制引用
吴瀚,余学祥,韩雨辰..一种多惯导数据的室内行人轨迹匹配算法[J].全球定位系统,2025,50(6):35-43,80,10.基金项目
安徽省自然科学基金(2008085MD114) （2008085MD114）
2021年度安徽省科技重大科技专项(202103a05020026) （202103a05020026）
2021年度安徽省重点研究与开发计划(202104a07020014) （202104a07020014）
