BikeGPS: Localizing Shared Bikes in Street Canyons with Low-level GPS Cooperation
BikeGPS: Localizing Shared Bikes in Street Canyons with Low-level GPS Cooperation
复制标题
BikeGPS：通过低级 GPS 协作定位街道峡谷中的共享单车
DOI：
10.1145/3343857
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发表时间：
2019
影响因子：
4.1
通讯作者：
Tan Guang
中科院分区：
文献类型：
--
作者：
Chen Kongyang;Tan Guang
在过去的几年里，无站点共享单车服务迅速发展。该服务允许自行车自由下车，并通过GPS定位找到。在实践中，自行车经常停在靠近建筑物的地方，GPS的准确性受到影响，使自行车搜索成为一项具有挑战性的任务。本文提出了一种解决这个问题的新方法。受多天线系统的启发，我们的方法试图通过将一组自行车组织成一个网络（称为aBikeGPS网络）来收集来自多个分布式自行车的GPS信号。由行人用户通过无线电传感和步跟踪机会性地测量自行车之间的距离形成，生成的网络允许将所有节点的卫星范围测量映射到单头节点的视图中。通过考虑卫星原始测量的信号和几何特性，并使用异步粗时间导航算法，引导节点可以准确地推导出所有网络节点的位置。在现实世界的场景中的实验表明，BikeGPS显着提高定位性能，在精度和解决方案的可用性，与天真的GPS方法和高层次的合作定位方法相比。
The past few years have witnessed a rapid growth ofstationless bike sharingservices. The service allows the bikes to be dropped off freely and to be found through GPS localization. In practice, the bikes are often parked in close proximity to buildings, where GPS accuracy suffers, making bike search a challenging task. This article proposes a novel approach to addressing this problem. Inspired by multi-antenna systems, our method tries to collect GPS signals from multiple distributed bikes, by organizing a group of bikes into a network, called aBikeGPSnetwork. Formed by pedestrian users who opportunistically measure inter-bike distance via radio sensing and step tracking, the generated network permits one to map all the nodes’ satellite range measurements into a singlelead node’s view. By considering both signal and geometry properties of satellite raw measurements, and using an asynchronous coarse time navigation algorithm, the lead node can accurately derive the locations of all the network nodes. Experiments in real-world scenarios show that BikeGPS significantly improves the localization performance, in terms of both accuracy and solution availability, compared with the naive GPS approach and a high-level cooperative localization method.