Hi all I am developing a new mobile app but we are having trouble with the accuracy for one of the features which is a panic button. The problem is we have it set on the highest accuracy (10 meters) using Google Maps Api but it is still off by about 6 meters. If you look at the screenshot, I we are actually at 3806 W. Camino Real and we really don't want people getting the wrong address when the panic button is pressed (shows 3810 W. Camino Real which is wrong). My question is how do we program the app to be more accurate? Or is there an addon anyone could recommend??
Below is screen
Any suggestions would be appreciated!
Thanks
Related
I have this requirement how to find whether the user is looking down or up the iPhone screen. like if the user have his iPhone in desk and he need to look down to the screen. if the same user taking a photo over his head means how to find it.
Is there is any sensors we need to use?
There is no direct sensor in iPhone that can recognise where your eyes looking but you can use front camera & machine learning to achieve your functionality. For more refer recognize gaze direction
I developed an app which calculates distances between current position(lat and long) and another stores location. Current position comes from built-in Gps on iPhone. In some buildings is working indoor( like 8meters far from windows or doors). Why is it working indoor? How can I still get GPS signal without WiFi/3G/4G connection?
i hope someone can answer me
Welcome to SO.
The short answer is, it's out of your control. GPS is not reliable indoors. Sometimes you are able to get a signal, sometimes not. Metal frame buildings are worse than wood-frame buildings, and brick also tends to interfere with GPS signals. Florescent lights also tend to interfere.
In a given indoor setting you'll either get a GPS signal or not.
I downloaded the Indoor Atlas iPhone SDK and also generated path maps and test paths for my venue. SDK navigates me perfectly when I am moving from one place to another but when I stop moving it generates scattered output with the position radius from 10 to 25. I am expecting precise co-ordinates in both the above cases in my project.
Is there any way to get more precision?
IndoorAtlas technology is using the history of magnetic field observations for computing the precise location. This means that the device needs to move some distance in order to collect enough data to converge to a correct location estimate, i.e., to have a location fix. We are constantly improving our service to decrease the time needed for the first location fix.
If you experience your position moving after you've already stopped walking yourself, please contact support#indooratlas.com with details of your application and venue where this is experienced and we'll look into it. Thanks!
Is it possible to calculate small distances with CoreMotion?
For example a user moves his iOS device up or down, left and right and facing the device in front of him (landscape).
EDIT
Link as promised...
https://www.youtube.com/watch?v=C7JQ7Rpwn2k position stuff starts at about 23 minutes in.
His summary...
The best thing to do is to try and not use position in your app.
There is a video that I will find to show you. But short answer... No. The margin for error is too great and the integration that you have to do (twice) just amplifies this error.
At best you will end up with the device telling you it is slowly moving in one direction all the time.
At worst it could think it's hurtling around the planet.
2020 Update
So, iOS has added the measure app that does what the OP wanted. And uses a combination of accelerometer and gyroscope and magnetometer in the phone along with ARKit to get the external reference that I was talking about in this answer.
Iām not 100% certain but if you wanted to do something like the OP was asking you should be able to dig into ARKit and find some apis in there that do what you want.
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I have a requirement mentioned below:
Already have a floor plan map image
First detect current location on floor
Then select the destination location using floor plan map image
Now application should provide direction & distance for that source to destination path
This is like how google direction works, but its in-house map require.
For example,
- Current position of user is: At his desk
- Where is Meeting Room #11
- So application should provide direction and distance updates on the map/floor plan image.
Any kind of suggestions/help would be great.
Thanks in advance
Couple of points...
You could create various audio files and play them as way points based on routing. Same principal as 'turn right at the next light'.
Definitely want to set your accuracy to: kCLLocationAccuracyBest. But this will still probably only get you accuracy of around +/- 10 meters at best.
Do a floor plan overlay using MapOverlayView.
If you are indoor, iPhone uses cell towers or WIFI for a location fix. This might be a problem for you because if you are looking to map multiple floors, only GPS can give you altitude readings - ground floor, second floor, etc...
I don't want to pour cold water on your idea but I have not heard of anyone successfully doing an indoor navigation app on an iPhone using standard stuff. If you really wanted to move forward on this project, your best accuracy might be using indoor bluetooth transmitters as navigational beacons...?
What you want is path-planing in the map, is that? If so, there is lot of algoritms you can use. You can choose a block size based on your map and resolution needs, divide de map into this, amd mark each block as navegable or not. Then getting from the first block trying in the direction of the destionation block, check if the neighboor block is blocked or not, and get going, until you reach (or not, if its not reacheable) the destination block.
Thats a pseudo-implementation, you have some option to do it, if I understand your needs.
(I dont know your hardware as said by others, with simple GPS and indoor navigation, assuming a 15m resolution is a good balance between optimistic/pesimistc signal, If its for robot-navigation, its not a goos approach in the GPS terms, but the algorimt is).