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GPS是近年来得到广泛应用的定位系统,将先进的定位技术应用于铁路站场可实现调车的可视化、智能化监控,有利调车安全,提高调车效率。但是车站股道密集的特点决定了对定位数据高精度的要求,生成一张精确的电子站场图成为实现列车智能化监控的一个必要环节。本文针对调车作业产生大量重复轨迹的特点提出多轨迹融合的方法实现地图自动精确化和更新,并且对定位测量方法及弯轨的表示进行了讨论。初步的实验结果证明了算法的有效性。
GPS is widely used in recent years positioning system, the advanced positioning technology applied to the railway station yard can realize the visualization of shunting, intelligent monitoring, shunting is beneficial to improve shunting efficiency. However, the dense characteristics of the station stock channel determine the positioning data of high-precision requirements, to generate a precise electronic station map to achieve intelligent train monitoring an essential part. In this paper, aiming at the characteristics of a large number of repetitive trajectories in shunting operations, a multi-trajectory fusion method is proposed to automatically map and update the maps. The positioning measurement method and the representation of curved rails are also discussed. The preliminary experimental results prove the effectiveness of the algorithm.