我的工作，我想跟踪建筑物GPS不可用内移动用户的位置的应用程序。用户开始在一个公知的固定位置（在5厘米精确到），在该点在手机加速度计将被激活，以跟踪任何进一步的动作相对于该固定位置。我的问题是，在目前这一​​代的智能手机（iPhone手机，Android手机等），如何准确人们可以期望能够基于加速这些手机一般都装备有追踪大人物的位置？

I am working on an application where I would like to track the position of a mobile user inside a building where GPS is unavailable. The user starts at a well known fixed location (accurate to within 5 centimeters), at which point the accelerometer in the phone is to be activated to track any further movements with respect to that fixed location. My question is, in current generation smart phones (iphones, android phones, etc), how accurately can one expect to be able to track somebodies position based on the accelerometer these phones generally come equip with?

具体例子，将是一件好事，比如如果我把50米的出发点和X，35米Y均从起点5米ž从起点，我希望我的位置近似为在+ / - 80公分最新的智能手机，或任何

Specific examples would be good, such as "If I move 50 meters X from the starting point, 35 meters Y from the starting point and 5 meters Z from the starting point, I can expect my location to be approximated to within +/- 80 centimeters on most current smart phones", or whatever.

我有像卡尔曼滤波技术只是一个粗浅的认识，纠正漂移，但如果这样的技术有关我的应用程序，并有人想要来形容改正的质量我可能会从这种技术，这将是一个加号

I have only a superficial understanding of techniques like Kalman filters to correct for drift, though if such techniques are relevant to my application and someone wants to describe the quality of the corrections I might get from such techniques, that would be a plus.

推荐答案

如果您集成加速度计值的两倍你的位置，但错误是可怕的。这是在实践中无用的。

If you integrate the accelerometer values twice you get position but the error is horrible. It is useless in practice.

下面是解释为什么（谷歌技术讲座） 23:20。

我回答了类似的问题。