LicenseĬopyright 2019, Xieyuanli Chen, Jens Behley, Cyrill Stachniss, Photogrammetry and Robotics Lab, University of Bonn. It uses the OverlapNet to train an observation model for Monte Carlo Localization and achieves global localization with 3D LiDAR scans.
#Latest opengl 4.6 driver code#
This repo contains the code for our IROS2020 paper: Learning an Overlap-based Observation Model for 3D LiDAR Localization. OverlapNet is a modified Siamese Network that predicts the overlap and relative yaw angle of a pair of range images generated by 3D LiDAR scans, which can be used for place recognition and loop closing. This repo contains the code for our RSS2020 paper: OverlapNet - Loop Closing for 3D LiDAR-based SLAM. More Related Work OverlapNet - Loop Closing for 3D LiDAR-based SLAM
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#Latest opengl 4.6 driver download#
![latest opengl 4.6 driver latest opengl 4.6 driver](http://www.geeks3d.com/public/jegx/2017q3/nvidia_r382.88_gtx1080_gpucapsviewer_opengl.png)
If you have a NVIDIA device, like a Geforce or Quadro graphics card, you should also activate the NVIDIA extensions using -DENABLE_NVIDIA_EXT=YES for info about the current GPU memory usage of the program.Īfter this setup steps, you can build with catkin build, since the configuration has been saved to your current Catkin profile (therefore, -save-config was needed). If you are unsure you can also leave it on the default version 330, which should be supported by all OpenGL-capable devices. Here the line OpenGL core profile version string: 4.3.0 NVIDIA 367.44 is important and therefore you should use -DOPENGL_VERSION = 430. OpenGL shading language version string: 4.50 NVIDIA OpenGL version string: 4.5.0 NVIDIA 367.44 OpenGL core profile shading language version string: 4.30 NVIDIA OpenGL core profile version string: 4.3.0 NVIDIA 367.44