Slam

=== openvslam ===
https://github.com/xdspacelab/openvslam
=== Neural ===
https://github.com/magicleap/Atlas End-to-End 3D Scene Reconstruction from Posed Images
https://github.com/MIT-SPARK/Kimera-VIO
https://github.com/martinruenz/maskfusion
https://github.com/martinruenz/co-fusion
=== Breezyslam ===
https://github.com/simondlevy/BreezySLAM from Christ Fotache at Pytorch. See Arduino_code#github and simond Lidar code TOF.
=== Leap slam using Kinect ===
http://diydrones.com/profiles/blogs/leap-is-kinect-with-200-resolution-slam
=== github ===
Unversity of Zurich https://github.com/uzh-rpg/dslam_open linked from University Zurich quadcopter
=== cvprtum ===
* https://github.com/tum-vision/lsd_slam code release of LSD slam
https://www.youtube.com/watch?v=LZChzEcLNzI Semi-Dense Visual Odometry for a Monocular Camera (ICCV '13) http://vision.in.tum.de/research/vslam/lsdslam?redirect=2 LSD-SLAM is a novel, direct monocular SLAM technique: Instead of using keypoints, it directly operates on image intensities both for tracking and mapping. The camera is tracked using direct image alignment, while geometry is estimated in the form of semi-dense depth maps, obtained by filtering over many pixelwise stereo comparisons. We then build a Sim(3) pose-graph of keyframes, which allows to build scale-drift corrected, large-scale maps including loop-closures. LSD-SLAM runs in real-time on a CPU, and even on a modern smartphone.
=== add ===
The latest issue of IEEE Trans. on Robotics is all about SLAM.
There are some interesting new algorithms, and articles on all
the old ones. This stuff actually works now, with nothing more than a
camera as input.
Willow Garage is implementing some SLAM algorithms and open
sourcing the code by putting it back into OpenCV.
http://www.willowgarage.com
http://openslam.org/
=== dimm ===
EmbeddedPc#DIMM_sized_computer
=== Links ===
Opencv_install_script#Ubuntu
Lidar
Category:Sasecurity
Category:Robotics
Category:Opencv
Category:Image processing
Category:Slam
Category:Neural networks