Indoor localization with a signal tree
Indoor localization with a signal tree
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DOI：
10.1007/s11042-017-4779-6
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发表时间：
2015-07
影响因子：
3.6
通讯作者：
Wenchao Jiang;Zhaozheng Yin
中科院分区：
文献类型：
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作者：
Wenchao Jiang;Zhaozheng Yin
嵌入摄像头和其他传感器的智能手机为解决GPS不可靠的室内定位问题提供了可能性。提出了一种基于WiFi、惯性和视觉信号的树木定位系统。树中有三个层次：（1）基于WiFi的粗定位。将建筑物的WiFi数据库聚类为若干分支进行粗定位;（2）方向修剪。在建筑物中收集的图像被标记有相机朝向其拍摄的方向，因此当通过将用户拍摄的查询图像与参考图像数据集进行比较来推断用户的位置时，将不会搜索标记有不匹配方向的图像分支;（3）精细视觉定位。基于多层次图像描述方法，通过将查询图像与参考图像数据集进行匹配来准确地确定用户的位置。我们的信号树为基础的方法进行了比较与其他方法的定位精度，定位效率和时间成本来建立参考数据库。实验结果表明，我们的室内定位系统是有效的，准确的室内环境。
Smartphones embedded with cameras and other sensors offer possibilities to attack the problem of indoor localization where GPS is not reliable. In this paper, a novel tree-based localization system is proposed based on WiFi, inertial and visual signals. There are three levels in the tree: (1) WiFi-based coarse positioning. The WiFi database of a building is clustered into several branches for coarse positioning; (2) Orientation pruning. Images collected in a building are tagged with camera orientations towards which they are taken, so when inferring a user’s location by comparing the query image the user takes with the reference image dataset, the image branches tagged with unmatched orientation will not be searched; (3) Fine visual localization. The user’s location is accurately determined by matching the query image with the reference image dataset based on a multi-level image description method. Our signal tree based method is compared with other methods in terms of the localization accuracy, localization efficiency and time cost to build the reference database. Experimental results on four large university buildings show that our indoor localization system is efficient and accurate for indoor environments.