Trajectory Estimations Using Smartphones
Trajectory Estimations Using Smartphones
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DOI：
10.1109/tie.2015.2478415
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发表时间：
2015-12-01
影响因子：
7.7
通讯作者：
Huston, Dryver
中科院分区：
文献类型：
--
作者：
Barrios, Cesar;Motai, Yuichi;Huston, Dryver
本文研究了智能手机内置的传感器是否可以准确地预测未来的轨迹，以实现车辆到车辆（V2 V）和车辆到基础设施（V2 I）系统。如果可以使用智能手机，没有V2 V/V2 I技术的车辆可以使用它们来接入V2 V/V2 I基础设施，并帮助填补车辆与V2 V/V2 I电网之间的差距。为了评估这一点，我们建立了一个航位推算系统，该系统使用卡尔曼滤波器来预测车辆的未来轨迹，这些信息可以用于V2 V/V2 I系统，以警告驾驶员车辆的轨迹是否会同时相交。然后，我们使用一辆装有加速度计，GPS和速度计传感器的车辆，并评估其预测未来轨迹的准确性。之后，我们将智能手机安全地放置在车辆的仪表板上，并使用其内部加速度计和GPS来提供相同的航位推算和卡尔曼滤波器设置，以预测车辆的未来轨迹。最后，我们比较了两种结果，并评估了智能手机在预测车辆未来轨迹时是否可以达到类似的准确性。我们的研究结果表明，一些智能手机可以用来预测未来的位置，但使用它们的加速度传感器会引入一些测量结果，这些测量结果可能会被错误地解释为空间变化。
This paper investigates whether the smart-phones' built-in sensors can accurately predict future trajectories for a possible implementation in a vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) system. If smartphones could be used, vehicles without the V2V/V2I technology could use them to tap into the V2V/V2I infrastructure and help to populate the gap of vehicles off the V2V/V2I grid. To evaluate this, we set up a dead-reckoning system that uses Kalman filters to predict the future trajectory of a vehicle, information that could be used in a V2V/V2I system to warn drivers if the trajectories of vehicles will intersect at the same time. Then, we use a vehicle with accelerometer, GPS, and speedometer sensors mounted on it and evaluate its accuracy in predicting the future trajectory. Afterward, we place a smartphone securely on the vehicle's dashboard, and we use its internal accelerometer and GPS to feed the same dead reckoning and Kalman filter setup to predict the future trajectory of the vehicle. We end by comparing both results and evaluating if a smartphone can achieve similar accuracy in predicting the future trajectory of a vehicle. Our results show that some smartphones could be used to predict a future position, but the use of their accelerometer sensors introduces some measurements that can be incorrectly interpreted as spatial changes.