> World-class accuracy of 1.96 meters<p>Good for WiFi/IMU-based indoor (phone-based) position tracking, I believe. For more accuracy, especially for robotics, etc., Pozyx [1] claims resolution of "a few centimeters" (indoor rooms/outdoor) by using some custom trilateration circuitry, and then there are attempts to use VR (esp. Vive) methods [2], which are even better (albeit more limited range).<p>[1] <a href="https://www.pozyx.io/" rel="nofollow">https://www.pozyx.io/</a>
[2] <a href="https://hackaday.com/2018/09/04/this-is-your-solution-for-open-source-motion-tracking/" rel="nofollow">https://hackaday.com/2018/09/04/this-is-your-solution-for-op...</a>
Has anyone used the in-store navigation feature in the Target app? It works on items that are in stock - it shows you the aisle number. Tap on that and it shows a store map (with the correct floor you are on) and the location of the item and your location. It’s scarily accurate. I’m not sure of the technology behind it.<p>Edit: a word, and also this was on iOS.
Does anyone know how this differs from <a href="https://www.internalpositioning.com/" rel="nofollow">https://www.internalpositioning.com/</a> ?
So far as I can tell the idea is almost exactly the same.<p>I've been using that with quite a bit of success in automating my smart home as I move around it.
I have had really good experience with a Microsoft Research project called Path.
The main usecase I had was navigating places like shopping malls without proper shop numbers or any addressing scheme.<p>You can find it discussed here <a href="https://www.microsoft.com/en-us/research/blog/path-guide-new-approach-indoor-navigation/" rel="nofollow">https://www.microsoft.com/en-us/research/blog/path-guide-new...</a>
Very interesting. Indoor mapping is a great project to take on. I started mapping my house using Wifi Signal. By capturing signal strength, noise, and connected AP for each device for every second. I can manage to turn lights off and on as I enter certain rooms. I can also tell the "occupancy level" of each room and "Who's where".
Cool :) I have done my bachelor's project around wifi location fingerprinting back in the day. Took a year but with a bit of tweaks we did manage to calculate pretty accurate models of signal propagation by just having a wall model. The only downside at that time was the lack of development tools for Android (we had to use netbeans which was being horrifying experience). I guess it would be a lot easier to do the project with modern development environments + Flutter & Dart and using a bit more modern versions of OS :)<p>Really nice to see that this area is still active and being worked on!
There's also <a href="https://www.indooratlas.com/" rel="nofollow">https://www.indooratlas.com/</a> which does indoor positioning based on magnetic signatures.
tldr: Watch this demo video, <a href="https://www.youtube.com/watch?v=MO-473oWSfE" rel="nofollow">https://www.youtube.com/watch?v=MO-473oWSfE</a><p>It is the Navigator Video on the far right column of the homepage.