Okay, thanks for the quick response. I’ll have to further investigate the WGS84_ELLIPSOID to see how it could help me. So it takes
WGS84_ELLIPSOID.EastNorthUpFrame(lat,lon,Matrix4 as target)
I have to extract Vector3 (position) from this Matrix4 by
target.decompose( position, quaternion, scale );
Then you say I have to raycast from this position to see where I intersect with a tile?
Have a look at the other functions on ellipsoid - there are other ways to extract a position at a certain height if that’s what you’re interested in.
Then you say I have to raycast from this position to see where I intersect with a tile?
Correct. You have to orient the ray to point at the surface.
If you have other questions please make an issue at the repo. I prefer not to handle help requests in a resources post.
Version v0.4.5 has been released and brings new support for a variety of new image and map data formats in addition to some other smaller bug fixes.
With the recent plugin system it’s become easier to add new extended functionality such as loading other tiled data formats. Specifically support for Microsoft’s Deep Zoom Image format, the conventional XYZ map tiles format (used by OpenStreetMap, Google Maps, etc), and initial limited support for TMS tiles. More to come!
Deep Zoom Images
XYZ Planar Tiles
XYZ Globe Tiles
Wow, this is absolutely stunning! Thank you!
I’m trying to display our data in your viewer and while there are quite a few generators which convert objects to 3d tiles, I’m struggling to integrate terrain data (like your mars dataset). What converter / pipeline did you use to generate these 3D-tiles? Any plans on reading quantized mesh terrain data?
Thanks again for this gem!
Thanks!
What converter / pipeline did you use to generate these 3D-tiles?
The pipeline used is internal to JPL and not easily run on non-Martian data. See this resources list linked in the README for more information on generators, etc.
Any plans on reading quantized mesh terrain data?
Support for this should be available in the coming months.
Many thanks for sharing this @gkjohnson - I had fun putting together a little seagull flying thing to check it out.
https://mapflaps.com/seagull/
It’s been a little while and a few releases since the last post but thanks to another Cesium Ecosystem Grant there are some big new features available with in 3d-tiles-renderer. You can read through the full set of patch notes from the last releases here but here are some of the big new additions in the last few releases up to v0.4.13.
Topographic Lines Demo
“Topographic Lines” or “Contour Lines” can help give a sense for the change in height of a surface, particularly when lighting is limited, without obscuring the underlying imagery too significantly. The topographic lines material added to the project supports level-of-detail scaling on zoom and works with Ellipsoid tile sets like Google Photorealistic Tiles.
Quantized Mesh Support
Quantized Mesh is precursor to 3d tiles by Cesium that stores altitude data in a quad-tree-like format designed for displaying cartographic data. The “QuantizedMeshPlugin” has been added to the 3d-tiles-renderer project to support loading and displaying quantized mesh data.
Texture Overlays
Another feature inspired by Cesium and other geospatial applications is the ability to overlay multiple tiled texture data sets on top of 3d tiles in a planar or cartographic projection.
These bring quite a few new possibilities to geospatial rendering with the project and will be compatible as new tiled data formats become supported! Another big thanks to Cesium for supporting the project!
Another release, another new set of data formats supported in the tiles renderer! The latest v0.4.17 release adds support for the WMTS tiled image format and WMS mapping service - both usable as overlays and image tiles. Development and features are still in-progress but a plugin has also been added for GeoJSON overlays. With the new release the project now supports eight tiled geometry and image data formats:
See the release notes here!
And a small milestone - the project usage has more than doubled since the beginning of the year and is now at well over 7,000 downloads per week! Thanks to everyone who have been using the library and sharing your work!
