Online grasp planning based on pointclouds of in-hand-cameraGPU Voxels at a Cleanroom3D Replanning scenarioReplanning3D View of Lab Environment3D Replanning scenario

Release 0.4 brings improved example programs

As anounced: A new Version 0.4 is online at GitHub.
The main intention was to fix the Viewers coordinate system and to improve the example programs.
I also added Viewer configfiles for almost all examples. Launch the viewer with gpu_voxels_visualization -c configfile.xml

Best,
Andreas

V 0.4 (2015-03-09):
===================
- Fixed coordinate system in the Viewer
- Improved Viewer XML Config parser
- Added possibility to control visibility of SweptVolume subvolumes from a provider program
- Improved pointcloud file loader (new datatype, scaling)
- Improved example programs, added viwer configfile for them
- Added missing pointcloud filess for the examples
- Moved performance monitor to icl_core
- Some smaller fixes regarding RAD / DEG
- Removed compiler warnings
Read more | Comments Off on Release 0.4 brings improved example programs | Mar 9, 2015

Updated Documentation

Hi everybody!

I finally managed to add some “getting started” documentation to this page on how to compile GPU-Voxels…
Please have a look at the new Documentation pages and the subpages on Prerequisites, Compilation and the Example Programs.
Now there is also an online Version of the (still not perfect) Doxygen API description.

I am currently fixing and improving the example programs and a bug in the 3D-viewer. So I think there will be an update on Github on Monday.

Best,
Andreas

Read more | Comments Off on Updated Documentation | Mar 8, 2015

We proudly present version 0.3 of the GPU-Voxels Lib

Here it is! A new version of the GPU-Voxels Library!

Most important change: It compiles with the recent Version 6.5 of CUDA.
Get the release at https://github.com/fzi-forschungszentrum-informatik/gpu-voxels
The reminder of the changelog reads like this:

V 0.3 (2015-02-26):
===================
- Made changes in the include structure to allow compilation with CUDA 6.5 
  (no longer trying to compile Boost-SharedMem-Headers with NVCC)
- Added datatype "PrimitiveArray" to quickly visualize helpers like thousands of spheres or cubes.
- Added InsertMetaPointCloud option to give each sub-cloud an own voxel type
- Function to sync a MetaPointCloud back to Host Memory
- Speed up in clearing VoxelMaps
- Added an optional offset when intersecting maps. So you can move one map relative to another before intersecting them.
- Added parameter to Kinect Interface to support the new PCL interface where a Cam ID has to be specified.
- More documentation in Octree kernels
- Added more operators for primitive data types
- Added Binvox as file format to generate Pointclouds
- Added Example program to demonstrate the insertion of IBEO Sensor Pointclouds
- Added missing config file for example program that intersects live Kinect data with a robot model (RobotVsEnvironment)
- Open Issue: Flickering colors in Visualization

Best,
Andreas

Read more | Comments Off on We proudly present version 0.3 of the GPU-Voxels Lib | Feb 26, 2015

Compilation problems with current CUDA Versions

Dear users,

unfortunately we experienced some problems when trying to compile GPU-Voxels with CUDA 6.5. We are working on that problem, but unless we (or you) find a solution, GPU-Voxels can only be compiled with CUDA 5.5

Please excuse that inconvenience, we are searching for a solution…

 

Best,

Andreas

Read more | Comments Off on Compilation problems with current CUDA Versions | Jan 25, 2015

GPU-Voxels Talk at Universidad Nacional Autónoma de México

UNAM Logo

Thanks to the kind invitation of Professor Jesus Savage
I could introduce the GPU-Voxels library
to the students of the Universidad Nacional Autónoma de México.

The slides can be found here: 2014_10_10_GPU-Talk_Mexico_0.3

Read more | Comments Off on GPU-Voxels Talk at Universidad Nacional Autónoma de México | Oct 13, 2014

Code available on GitHub

GitHub-MarkThe next step has been taken:
Our code is finally available on GitHub:

https://github.com/fzi-forschungszentrum-informatik/gpu-voxels

Feel encouraged to test it!

Read more | Comments Off on Code available on GitHub | Sep 13, 2014

New Video: Mapping with two Depth-Cameras

I put a new video into the Demos section that demonstrates the real time insertion of point cloud data of two cameras into the GPU Octree. Simultaneously raycasting is carried out to determine the free space regions.

Read more | Comments Off on New Video: Mapping with two Depth-Cameras | Aug 22, 2014

Mailing List available

Dear gpu-voxel-users,

we now have a mailing-list available! Please feel free to post all your suggestions and problems there.

Subscribe here: https://listserv.fzi.de/mailman/listinfo/gpu-voxels
Post here: gpu-voxels@listserv.fzi.de

Thanks,
Andreas

Read more | Comments Off on Mailing List available | Aug 8, 2014

GPU-Voxels Tutorial Slides are available online

IAS-13: GPU Voxels Tutorial Slides

IAS-13: GPU Voxels Tutorial Slides

By now, the slides of the IAS Tutorial are available for Download.

Please find them in the Mediacenter of the FZI Website: http://www.fzi.de/en/our-services/mediacenter/publications/

Direct Link: http://www.fzi.de/en/our-offer/mediacenter/publications/?fd=2015-07-15_IAS_Tutorial_V4.0_final.pdf

 

Read more | Comments Off on GPU-Voxels Tutorial Slides are available online | Jul 29, 2014

Thank you for attending the IAS-13 tutorial

Dear participants of our tutorial at the IAS-13 in Padova,

I hope you enjoyed your conference! Thank you for your interest in our software and the nice discussion during and after the tutorial.
Many of you requested the slides from my presentation. I did not forget that, but I have to wait for the FZIs clearance before I can upload them.
Also I am still working on the upload of the Code to a Code-Hoster.

Until then, you can find a little how-to in the Tutorial Section, on how to compile and launch the presented Demo-Program.
I hope to get your feedback after you tested the Code at home.

Best,
Andreas

Read more | Comments Off on Thank you for attending the IAS-13 tutorial | Jul 23, 2014