Investigating of the Accuracy of Vehicles Mutual Positioning Using Smartphones

R. Kulikov, A. Chugunov, D. V. Tsaregorodcev, N. Petukhov, A. Malyshev
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引用次数: 2

Abstract

In this paper the analysis of usage raw GNSS observations (pseudoranges, doppler shift) in new generation Android smartphones for mutual vehicles positioning in real conditions is given. Usage of mutual positioning algorithms in this case is justified because measurements errors for two nearby situated objects in real conditions are correlated and can be compensated, which improves accuracy. Experiments with five moving vehicles were held. There were a several kind of maneuvers explored (oncoming traffic, turn, overtaking, etc.). Measurements obtained from smartphone from each vehicle have been stored and transmitted to each other vehicle via internet in real time in purpose to obtain mutual positioning estimations during maneuvering for each one. Time transmitting delay is measured and described in this paper. Comparison in precision in post processing between GNSS receivers measurements and smartphone estimations is given.
基于智能手机的车辆互定位精度研究
本文分析了新一代Android智能手机中GNSS原始观测值(伪距、多普勒频移)在实际条件下相互车辆定位中的使用情况。在这种情况下使用互定位算法是合理的,因为在实际条件下,两个附近物体的测量误差是相关的,可以补偿,从而提高了精度。用五辆移动车辆进行了实验。研究了几种机动方法(迎面而来的车辆、转弯、超车等)。每辆车的智能手机测量数据被实时存储并通过互联网传输给其他车辆,目的是获得每辆车在机动过程中的相互定位估计。本文对时间传输延迟进行了测量和描述。比较了GNSS接收机测量值与智能手机估计值的后处理精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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