I'm trying to write an app for detecting "where you are" in a building use ARCore. I'd like to use previously learnt and then saved feature points to provide the initial sync position as well as then helping to continuously update position accurately. But this feature does not currently appear to be supported in ARCore.
Currently I'm using tracked images as a way to do an initial sync. It works, but not brilliantly - alignment is often a few degrees off and you have to approach the image pretty slowly and deliberately. And then once synced there is drift... Yes, loop closing works pretty well when it gets back to somewhere it recognises, but it needs to build up that map every time you start the session.
So, obvious solution: are there any plans for Google to implement "Area Learning" as it was back in Google Tango? It looks like Cloud Anchors might be some attempt to do this, but clearly that's all hosted on Google, and it strictly limited as to how long that data is stored. Currently that's just not a possible solution. OTOH, Apple's ARKit seems to now provide just what is needed:
https://developer.apple.com/documentation/arkit/saving_and_loading_world_data
Does this mean that Apple / ARKit is the only way to go for the app? Hope not...
You might want to check out persistent cloud anchors that is still in development.
From documentation:
Note: We’re currently developing persistent Cloud Anchors, which can
be resolved for much longer. Before making the feature broadly
available, we’re looking for more developers to help us explore and
test persistent Cloud Anchors in real world apps at scale. See here if
you’re interested.
We're looking to share AR experiences (ARWorldMap) over the web (not necessarily to devices nearby, I'm referring to data that can be stored to some server and then retrieved by another user).
Right now we're looking into ARWorldMap which is pretty awesome, but I think it only works on the same device AND with devices nearby. We want to be able to delete these constraints (and therefore save the experience over the web on some server) so that everyone else can automatically see 3D things with their devices (not necessarily at the same time) exactly where they were places.
Do you know if it's possible to send the archived data (ARWorldMap) to some server in some kind of format so that another user can later retrieve that data and load the AR experience on their device?
The ARWorldMap contains the feature points in the enviroment around the user. For example, the exact position and size of a table but including all the other points found by the camera. You can visualize those with the debugOptions.
It does not make sense to share those to a user that is not in the same room.
What you want to do is share the interactions between the users, eg when an object was placed or rotated.
This is something you would need to implement yourself anyway since ARWorldMap only contains anchors and features.
I can recommend Inside Swift Shot from last years WWDC as a starting point.
Yep technically it’s possible as according to docs here. You will have to use the nsssecure coding protocol, might have to extend if you aren’t using a swift backend though. It’s still possible as the arkit anchors are defined by a mix of point maps, rotational data , and image algos. Just implement portions of codable to JSON and voila it’s viable for most backends. Of course this is easier said then done.
I am trying to interface ROS and open cv. I was able to threshold the video stream and display the output in rqt. Now I want to adjust the threshold range by creating a track bar in rqt. How could I implement it.
The best way in terms of integration and looks would be to create your own rqt plugin (tutorial). However you'd need to find some way to notify your node about any changes (e.g. via a service call).
Much easier and faster, and usually sufficient, is to re-use existing functionality. In this case, take a look at dynamic_reconfigure. This allows you to change parameters on the fly, you only need to define the configuration and register a callback in your code (tutorials). The GUI integrates into rqt.
I'd like to know how to create a target for architectural large scale AR on a real site.In other words, I need that Google superimposed my 3d model on a specific place.
I have tried Google tango Area Learning tutorials (https://developers.google.com/tango/apis/unity/unity-codelab-area-learning), but after showing the message WALK AROUND TO RELOCALIZE the tablet does nothing, although I walk around to detect the real space, then after few minutes the message Unity project has stopped appears on the Google Tango tablet screen.
Could ADF file used instead of relocalizing the environment?
I've detected some interior scenes by Tango explorer and saved them,but I'm not able to use them for environment recognition purpose
I work on Unity and Google Tango tablet.
Thank you in advance for your response.
For anyone else facing this problem - the likely cause is not having a recent ADF file already on the device.
You need to first create a Area Description file (ADF) by scanning, and then you can separately Localise to that ADF - so you cannot "use an ADF instead of relocalising."
The tutorial you link above needs you to have separately created an ADF for your location - it simply chooses the most recent one you have.
You can use the Area Learning example to create your ADFs, and try localising to them. It also shows superimposing 3D models.
Also, look at the augmented reality one to see how to have objects load already in a specific place.
I want to convince some clients to use MapServer and OpenLayers. Please can anyone suggest attractive websites to show off the possiblities!
The clients will be impressed by:
A density map (otherwise known as a heat map, colour-shaded grid coverage, contour plot...).
The ability for the user to download the underlying data for the density map, restricted to the area being viewed, in some format such as netCDF.
Standard OpenLayers stuff. Zooming, panning, scale bar, overview map...
Different base layers. Could be WMS, Google, Bing...
Searching for a placename, map is panned to display the place.
Exposing the heatmap data for other people to use in mashups as WMS or WCS
MapServer.org is back up but demo.mapserver.org seems to be down right now :( But from memory their examples didn't have the "wow" factor. The OpenLayers examples demonstrate only one or two features per example - I want something to wow the clients by showing all the capabilities in one example.
PS If you have good examples that use some other open source tools, post them by all means. But just JavaScript please: customer says no rich client.
EDIT Come on StackOverflow, someone must have an example that uses a density map?? I'm even offering a bounty now...
Note this answer is no longer relevant. The open source maps have since been replaced with a commercial alternative by a different company
http://maps.seai.ie/wind/ - mapping onshore and offshore wind speeds and farms in Ireland
http://maps.seai.ie/geothermal/ - mapping geothermal temperatures in Ireland, and borehole data
uses WMS services (and TileCache) for all the layers, so can be accessed by other client GIS's (well once I've set up metadata etc..)
has a variety of different base maps to choose from
built using MapFish / ExtJS
has drop down gazetteers for County and Townland (an Irish administrative unit)
all the basic map navigation tools and a simple info tool
right click on a layer to set transparency
uses MapServer opensource back-end, plus SQL Server 2008
The systems (and a third more complex Bioenergy Intranet system) got a mention here: http://www.geoconnexion.com/uploads/renewableenergy_intv9i4.pdf
http://haiticrisismap.org/ openlayes + geoxt
would it be possible to create a template map for the client with a bunch of data on it, census, socio, create some simple fake buffers.
Maybe have a look at the HeatMapAPI for Google Maps (not sure you'll wow the client with that though).
Another density map: http://maps.glassfish.org/server/ (showing the use of GlassFish around the world).
We're using the OpenLayers Heatmap layer, mostly because (for us) it handles large data volumes better than the Google Map version (your mileage may vary)
http://www.patrick-wied.at/static/heatmapjs/demo/maps_heatmap_layer/openlayers.php
By large data volumes, I mean location datasets with 100K+ rows
It also works nicely as an ASPX page with dynamic realtime data retrieval from an SQL Server database. I've used a stored procedure to pre-process the data into the array format, grouped by Latitude & Longitude.
For those that need a translation table to convert their UK Postcodes into Latitude & Longitude, here's a good source:
http://www.doogal.co.uk/UKPostcodes.php
The OneGeology Portal (http://portal.onegeology.org/OnegeologyGlobal/) has been online for about 10 years, currently running OpenLayers 2, with an OpenLayers 3 version in development.
The portal attempts to create a geological map of the world by pulling together disparate OGC services provided by data suppliers (mostly Geological Surveys) from across the globe. The portal provides access to data from WMS, WFS (simple and complex feature), and WCS. The portal uses CSW to help manage which functionality is available to a user, and provides the ability to style WMS layers through the application of custom SLD. Map contexts can be saved, shared and loaded using WMC.
There is a gazetteer to help you zoom to a location of choice, the ability to change projections, and scales, and the ability to create a KML file to allow the service to be used in Google Earth. Transparency can be changed on all layers.
There are currently 353 layers.
When the OneGeology project started, all documentation was geared to the support of services provided by MapServer, and many of the services in the portal are MapServer services. However, because the portal utilises open standards, any software that can provide services to those standards can be included.
This is an example of a classified grid generated in MapServer and displayed by OpenLayers: https://maps.greenwoodmap.com/sublette/mapserver/map#zcr=1/2690000/1170000/0&lyrs=slopesZ,townlim,ownership,roads. The raw, unclassified slope data can also queried by map click.