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首页> 外文期刊>電子情報通信学会技術研究報告. ITS. Intelligent Transport Systems Technology >Pedestrian Positioning with the Aid of Google Earth and Google Maps Street View
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Pedestrian Positioning with the Aid of Google Earth and Google Maps Street View

机译：通过Google Earth和Google Maps Street View进行行人定位

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摘要

Pedestrian navigation becomes one of the most used services in people's city lives. The satisfied navigation service needs an accurate positioning technology. In addition, the positioning technology is expected to be performed in the compacted and daily used devices, such as smartphone and smart glasses. Even though the current smartphones have integrated multiple sensors, such as Global Navigation Satellite System (GNSS) receiver, gyroscope, accelerometer and magnetometer sensors the quality of positioning in urban environment is still not satisfied. The reasons of the huge error include GNSS signals reflections, high dynamic of pedestrian activities and disturbance of the magnetic field in urban. In this paper, we propose to utilize the camera sensor for improving the accuracy of the positioning. The camera sensor could provide the visual observation. This observation is compared with the available Google Maps Street View to provide the corrected positions. With the visual matching between the pedestrian's geo-tagged photo and the reference images from Google Maps Street View, we expect to reduce the positioning error to 4 meters, and further distinguish which side of the road or which comer of the crossroads the pedestrian is in.
机译：行人导航已成为人们城市生活中最常用的服务之一。满意的导航服务需要精确的定位技术。此外，定位技术有望在紧凑型和日常使用的设备中执行，例如智能手机和智能眼镜。尽管当前的智能手机已集成了多个传感器，例如全球导航卫星系统（GNSS）接收器，陀螺仪，加速度计和磁力计传感器，但仍无法满足城市环境中的定位质量。产生巨大误差的原因包括GNSS信号反射，行人活动的高动态以及城市磁场的干扰。在本文中，我们建议利用相机传感器来提高定位精度。相机传感器可以提供视觉观察。将该观察结果与可用的Google Maps Street View进行比较，以提供更正的位置。通过行人的带有地理标签的照片和Google Maps Street View中的参考图像之间的视觉匹配，我们希望将定位误差减小到4米，并进一步区分行人所在的路段或十字路口的哪个弯道。

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