北斗惯性协同的运营车辆多源融合高精度定位方法

By employing a multi-source fusion method based on BeiDou inertial coordination, the problems of accuracy and trajectory continuity of vehicle positioning systems in complex environments were solved, achieving high-precision positioning and stable safety management.

CN121430596BActive Publication Date: 2026-07-17中铁高速(广西)养护科技有限公司 +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
中铁高速(广西)养护科技有限公司
Filing Date
2025-11-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing vehicle positioning systems struggle to achieve centimeter- to decimeter-level accuracy when vehicles are operating on highways under conditions of high obstruction, multiple paths, weak networks, and cellular link jitter. Furthermore, electronic fence detection suffers from false alarms and failure to alert, leading to track breaks and weakened safety control capabilities.

Method used

By employing a multi-source fusion method based on BeiDou inertial coordination, and combining unified event time, dynamic lever correction, adaptive model switching, probabilistic correlation and dual-time axis smoothing with HPL sensing fence, a continuous processing chain is constructed to achieve high-precision positioning and trajectory continuity.

Benefits of technology

Achieve centimeter/decimeter-level positioning accuracy in complex environments, reduce cross-modal misalignment, ensure trajectory continuity and fence determination accuracy, and meet end-to-end low latency and auditability requirements.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了北斗惯性协同的运营车辆多源融合高精度定位方法,涉及车载导航定位技术领域,S1在端侧完成GNSS / IMU / 轮速采集、PPS对齐、外参标定与质量控制,并以统一事件时间上行;S2构建短窗因子图与IMM,在RTK / PPP / DR间自适应切换,采用对数域协方差更新与RAIM输出HPL;S3按事件时间重排离序,实施概率关联与双时间轴平滑;S4在云边流处理去重整形,引入HPL感知围栏并多通道汇聚;S5以场景重加权、软最小与尾部风险驱动镜像更新;可以在复杂遮挡下实现厘米 / 分米级定位、出隧收敛、围栏低误报,端到端时延P95≤1s,并保持回放与统计一致。
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