I am developing a project that is intended to use the GPS capabilities of an Android phone and a nearby station to compute positioning to a much more precise degree (cm), using RTK DGPS technology.
So far, I haven't been able to see anyone saying they actually managed to perform a similar task (apart from #GPSmaster, who doesn't explain how), and the APK doesn't seem to offer any information from the GPS chip other than location and NMEA message updates. I need, if possible, pseudo-ranges and carrier phases.
I was wondering if:
It would be possible to look for lower level hooks on my phone using native code, or other lower level snooping;
It would be possible to send RTCM corrections to the GPS chip present on one of these devices;
Any ideas?
Generally speaking DGPS is a technique that improves real position accuracy by canceling out most of the atmospheric effects on the GPS signal. In a typical direct GPS measurement there is about a random error in the ranges computed to the satellites due to atmospheric effects. This is why a GPS receiver that is left collecting data in a fixed location will seem to wander with in an error ellipse. For two receiver stations in the same area the atmospheric effects are almost identical and they will wander in parallel within their similarly sized and oriented error ellipses. If one of the two receivers is at a know location then the differences in their apparent GPS locations can be taken and plotted from the true location of the known station to find the true location of the unknown station.
Back in the day (circa 1992) when we had to accomplish DGPS by "post processing" we used to take the raw NEMA data collected at the two stations match up the times, compute the baseline vector and apply it to the known point to find the unknown point. I think the NEMA data we were using was only recorded to the nearest 10 sec. The math isn't really that hard.
I suspect that NEMA GPS messages [http://developer.android.com/reference/android/location/GpsStatus.NmeaListener.html ] from a tablet at a known point (with a clear sky view) could probably be sent over an internet socket to a smart phone (also with a clear sky view), which could then compute the difference and achieve a sub-meter relative location over a distance of few km, even if the assumed Internet transit times were ignored. This technique would probably still work even if the tablet and smart phone were both applying broadcast DGPS adjustments.
With the andvent of Android 7.1, the raw data from GPS chips will be available to developers. (http://gpsworld.com/google-to-provide-raw-gnss-measurements/)
Others seem to have done something similar to what you wish to accomplish (http://gpsworld.com/innovation-precise-positioning-using-raw-gps-measurements-from-android-smartphones/)
No, it is not practical to get any lower level access to the GPS device by an Android application. This has several reasons:
The application has no other means of accessing the GPS device as through the Java based API. Native code is forbidden to use most devices and usually needs a Java wrapper to tunnel through the sandbox for Android sensor devices. This makes up the main security concept.
If native code would have access to the GPS device on a lower level, it would have to cope with several different manufacturers protocols now not abstracted by the API. Best chances are to get access to custom NMEA codes, which may still have device dependent caveats.
Even if lower level access would be possible, one loses the integrated merging of other location sources like WLAN and cellphone carrier, that are presumably merged in native code below the Java API but above the NMEA protocol.
You can use DGPS corrections in Europe via custom application for SISnet receiving correction signals from EGNOS augmentation satellites(http://egnos-portal.gsa.europa.eu/news/egnos-gets-invite-your-smartphone-11). It does however need a subscription (which isn't really open to public yet) to SISnet to obtain username and password for connection to their servers. There's some of SDK published which you may find useful. Just remember that you are limited to C/A signals only (pseudoranges) and you CANNOT get phase data (L1/L2) from those cheap chips inside smartphones.You'd need a precision GNSS receiver such as Trimble BD910 (http://www.trimble.com/gnss-inertial/bd910.aspx?dtID=overview) to be able to access L1 carrier phase signal for GPS & GLONASS. There are however cheaper chips that support SBAS but none are yet installed natively in phones.
Umm. Your android probably has such a crap GPS antenna that achieving cm accuracy is impossible. Maybe if you average the position for days.. usually DGPS support is not published and not many chipsets support it. Last time I saw DGPS implemented it involved hacking the actual GPS chip firmware to add support. Even getting A-GPS to work on a random chipset is iffy since they might not support a documented way of feeding the assistance data.
It should be related with the hardware implementation , rather than the software implementation.
In the reality, GPS is usually accompanied with Wi-Fi or 3G to assist in searching the current position.
RTCM correction can be sent to your android phone using NTRIP 'provider'. Then you need to apply it to your raw GPS in your android.
Related
I've read through the SDK documentation for both Windows and Android and found some functions for accessing the state of the current GPS connection and Latitude/longitude information.
I am looking to develop an application that uses 3d photogrammatry to monitor a set area in real time and am worried that built-in localization might not update the model accurately enough.
So I am wondering if there is a way to get the lower-level information like connection strength and specific connected satellites. (to compare to GPS information from the ground for better accuracy.) Is this supported? (maybe in specific drones?) Or is my only option to attatch a GPS device to it that I then access seperately?
I also know that DJI offers a drone with GPS-RTK to give this accuracy but I'm looking at alternative approaches because of the big step up in cost.
Any information / suggestions would be of great help! Thanks.
I am sorry to report but there is no access to the raw data from the GPS sensors. The information you found in the SDK documentation is all that is available.
How accurate are you looking for? Generally the accuracy is pretty close, certainly within 1 foot or so and there is specifications for GPS accuracy in specific drone's manuals.
There isn't any more info you can get from the sdk.
I guess you looking for raw meassurements? There is nothing that points to that's possible, even in the dumledore messages.
You better stick with the newer drones, since they seems to use dual freq gps, starting from mini2. Very accurate.
Havn't tried the mavic3 but my guess is that they switched to the same gps-chip as in the mini2.
Ne aware that gps lat/lon you get is actually fused with the imu.
I'm trying to find a good way to track location of people in a building. I would ultimately like to be able to create a graphic on demand showing where employees are in a building - which floor (elevation), and where on the floor they are located (lat/lon). I have read that elevation is relative to the WGS84 ellipsoid, not sea level necessarily, which is fine. I can define a baseline of where the first floor is, for example, and then calculate the difference of a person's current location from there. If I understand correctly, the general precision lat/lon for a GPS is as fine as 1m, which should be sufficient for me.
Part of my problem is finding a device to use for employees to carry around. The other is finding a device with a supported API (read: "free API") or other programming options. I would like this to be manufacturer-independent.
I would love to do cross-platform development - iOS, Android, PC, web, etc.
Does anyone have experience with something like this, and what recommendations can you offer on where to start? I know this is a little open ended but I'm not sure where to start.
Thanks.
This all does not work (tracking within a building).
GPS Signal is very poor or non existent within a building.
(Next time search here on Stackoverflow. It has been asked some times.)
The only robust and working solution, are BlueTooth beacons.
Such small hardware pieces are mounted within the building.
Such beacons (search for iBeacon) just send out an id.
The phone receives the id, and the approximate distance to it.
You have to administrate and know which id is at which level of the building.
Even when having good reception the GPS signal is not precise enough to determine the floor a person is location.
Some phones have a barometer, like the ipHone, this can track relative heigh changes, and may be used to determine level within a building. (Once calibrated before entering the buulding)
I want to create application which will navigate user at the shopping mall. So, I'll create a mall's map and I need somehow to track changes of user's location. Because of navigation in building, GPS is not a solution (low signal). So, I assume there is a way to track location changing (1-2 meters) with another module (maybe accelerometer?). Any ideas?
Thanks
Update: I cannot use any additional devices such as iBeacons or so. I only can use device on which app is running. No access to wi-fi routers or so.
Example: I'm standing near Apple store(point A), and now I'm going to Samsung store(point B). The app should react that I started to move from point A, and know how much meters(accuracy may be not ideal) I walk from point A and in what side I'm going (east, west, south, north).
iBeacons have bean invented for your task, they are low energy blue tooth devices which emits an unique ID, and If I remeber correctly, also the distance to that beacon.
iBeacons have been invented by or for Apple. So you have to search for an alternative which works on Android.
ibeacons are mounted at the walls of the shop.
Update:
Things you can do:
Count foot steps using accelrometer, like apple does in an API.
Theoretically you could use the built in compass, but practically it has to calibrated each time it is used (this is anoying, and useres will not do it).
You can get to decimeter accuracy using magnet field analysis of the shop and the 3-d magnetic sensor of the smartphone. This works in research (indoor navigation using magnetic fields) But you have to create a magnetic map of each shop to make it work.
for WLAN:
You need at least 3 different wlan routers in the shop. Usually they will only have one.
1-2 m accuracy you will not get with wlan.
(On ios it is not possible to read the wlan device ids nearby, hopefully you can do that in android)
iBeacons or similar devices mounted in the shop at strategic placesw,
are the only feasible technology which you will get to work.
There is an open source Android app for tracking location without GPS. It uses TYPE_STEP_DETECTOR sensor available from API level 19.
You can download it from Google Play and source code is available on GitHub.
The app is not very accurate because it uses average step length. It can be improved if we allow user to specify or calculate automatically his personal step length.
I want to calculate distance Bluetooth Paired device from android mobile. I am new in Android Bluetooth Concept can any one suggest me it's possible or not possible in android sdk.if it's possible post any code or tutorial link!
The Bluetooth signal strength distance relation depends on the devices (built-in Bluetooth device, antenna, actual orientation of device), current way the persons hold their devices, objects in-between... You could measure this for a pair of devices for a given situation and use these information.
A larger and more general solution would incorporate an external Bluetooth network. Bluetooth triangulation is the basic concept, that will help. The link will give an insight on certainties that are achievable with such a setup. Take is as an upper limit, a device to device approach will be worse.
The EE Stack Exchange site has a more complete answer which includes a mention of Apple using 802.11v for determining if Apple Watch is close to a MacBook.
Bluetooth uses radio, and radio travels at the speed of light. A 1cm round trip will take less than 100ps. Timing something that short will be tricky, probably you'll want a 10GHz clock, though there are other options. But even then, Bluetooth isn't designed to instantly echo the radio message. If you receive, process and re-transmit the message, then the processing delay will be much longer than the time of flight, and will vary randomly by at least the period of the clock used with the Bluetooth chip.
You can't. Maybe, you can get approximate value from signal indicator but it's too much subject because of envirounment - is there something between connected devices, some reflection surfaces, etc.
There is a way you can research, is coding a response time. just calculate the bluethooth response time in nano secs, physically measure the distance between the devices and make a tree rule... is the same concept of GPS. This is a Laboratory work. I have a project that i have to develop it, in schedule i will taking it in a month.
OFC, its possible. It just requires ultra precise app, build to calculate "pings" between the two objects - kinda like ekko-location or laser distance measurement - its about how much time a specific signal travels back and forth.
I started doing some thinking about creating an Android application that can be used within a corporate building to determine what room you are in. Obviously I'm thinking GPS and network locations wouldn't be accurate enough to accomplish this. (Not to mention the instability of GPS signal inside) I looked briefly into calculating distance via the accelerometer, but it is apparently highly volatile and leaves a large margin for error. I've also considered some sort of triangulation from routers, but you run into issues with walls/microwaves and various other things that could upset the signal strength. Does anyone have any possible ideas or directions to try?
How about bluetooth tags that emit a room id. You could make money merchandising the emitters on a facility size basis and they could provide additional functionality such as:
(1) forming a pico net that ultimately updates the an onsite server with locations of everyone using the app, or
(2) tracking key equipment with a similar bluetooth tag, etc.
You could get something similar to the link below in qty from China, I'm sure:
http://www.engadget.com/2009/03/26/nio-bluetooth-security-tag-keeps-tabs-on-your-belongings/
Perhaps it is not too much help but the papers I have found on this subject are these:
RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers
Pedestrian Tracking with Shoe-Mounted Inertial Sensors
Enhancing the Performance of Pedometers Using a Single Accelerometer
I have no idea how these methods would perform in real-life applications or how to turn them into a nice Android app.
I am curious what other answers you will get.