用android定位室内位置 - 不够准确 [英] Pinpointing indoor location with android - not accurate enough

问题描述

我试图找到一个解决方案来确定室内，特别是在拥挤的地方，比如购物中心。

我尝试构建一个简单的应用程序，试图只使用网络服务或Wifi网络来查找手机。

通常当Wifi上的精确度达到40-60米时，当wifi关闭时，只有网络服务被使用，准确度达到600-1000米。

不幸的是，我的需求确实太不准确了。
我读到Google已成功为室内导航添加了精确的解决方案（ http://www.engadget.com/2012/01/08/google-maps-indoor-navigation-las-vegas-ces-2012/ ），所以我想可能有一个可能的方法来实现更高的准确性。 5-10米的准确度就足够了。

我很乐意得到任何建议！

在高度被贩运的公共空间中，室内定位解决方案往往基于WiFi映射与已知的地图信息相结合。这种方法可以提高从移动设备获得的位置信息的精确度（超过在尚未映射的位置执行的测试的结果）。实际的错误率取决于WiFi热点的密度和精确映射程度，无论它们位于稳定的位置还是倾向于四处移动，平面图的准确性以及集成平面图信息的算法的有效性（例如，定义哪些路径可以由人们导航）。其他组织正在公共空间部署基础设施（例如，诺基亚 - 基于蓝牙的）。此解决方案假定您控制基础设施（并采用最新的蓝牙技术）。我为TRX Systems工作，我们正在使用传感器和地图融合技术补充这些现有技术。在这种方法中，我们融合来自众多传感器的信息 - 包括机会信号（GPS，WiFi，细胞三角测量，蓝牙），嵌入式传感器（惯性，高度计，测距，指南针）以及已知和推断的地图信息，准确的位置在室内。

Carol

I'm trying to find a solution for pinpointing indoors, specifically inside big crowded places, like malls for example.

I tried building a simple app that tried to pinpoint the phone using only the Network service or Wifi networks.

Usually when Wifi was on the accuracy got to 40-60 meters, and when the wifi was off and only the network service was used, the accuracy got to 600-1000 meters.

Unfortunately that really is too inaccurate for my needs. I read that Google have successfully added an accurate solution for indoors navigation ( http://www.engadget.com/2012/01/08/google-maps-indoor-navigation-las-vegas-ces-2012/ ) , so I guess there might be a possible way to achieve a higher accuracy. 5-10 meters accuracy should suffice.

I'd be happy to get any kind of advice!

Thanks!

解决方案

In highly trafficked public spaces, indoor location solutions tend to be based on WiFi mapping combined with known map information. That approach allows an increase in the accuracy of the location information you will get from your cellular device (over results from testing performed in locations not yet mapped). The actual error rate will depend on how dense and well mapped the WiFi hot spots are, whether they are in stable locations or tend to be moved around, the accuracy of the floor plans, and the effectiveness of the algorithms that integrate the floor plan information (e.g., defining which paths may be navigated by people, for example).

Other organizations are deploying infrastructure in public spaces (e.g., Nokia - Bluetooth-based). This solution assumes you control the infrastructure (and assumes the latest Bluetooth technology).

I work for TRX Systems and we are complementing these existing technologies with sensor and map fusion technology. In this approach, we fuse information from a multitude of sensors - including signals of opportunity (GPS, WiFi, cell triangulation, Bluetooth), embedded sensors (inertial, altimeter, ranging, compass), and known and inferred map information, to deliver an accurate location indoors.

Carol

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