拓扑轨迹图谱的几何增强定位

Carsten Hasberg, Stefan Hensel
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引用次数: 1

摘要

在汽车领域,定位通常是通过融合观测数据来实现的,例如GPS位置和路线图。将这些策略转移到轨道车辆定位通常是不可能的,因为没有几何轨道地图。这一贡献的重点是扩大具有几何特征的给定拓扑轨道地图,以实现基于几何测量的地图辅助轨道车辆定位。首先,我们根据涡流传感器系统测量的局部轨道特征计算轨道拓扑中的最优路径。然后对有噪声的INS位置进行处理,估计测量列车经过的地图段的几何形状。最后用几何信息增强相应的片段。该方法在铁路实际场景中得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric augmentation of topological track atlas for localization
In automotive domain localization is typically performed through fusion of observations e.g. GPS positions and roadmaps. A transfer of these strategies to rail vehicle positioning is often impossible, because geometric track maps are not available. Key focus of this contribution is the enlargement of given topological track maps with geometric features, to enable a map-assisted rail vehicle localization based on geometric measurements. Initially we compute the optimal path within the track topology based on local track features that are measured with an eddy current sensor system. Then we process noisy INS positions and estimate the geometric shape of the map segments the measurement train has passed. Finally we augment the corresponding segments with geometric information. The proposed method is validated on real data in a real railway scenario.
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