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vidurj edited this page May 5, 2016
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- required sensors: depth camera
- project: http://research.microsoft.com/en-us/projects/surfacerecon/
- demo: http://msrvideo.vo.msecnd.net/rmcvideos/152815/152815.mp4
- paper: http://research.microsoft.com/pubs/155378/ismar2011.pdf
- additional paper: http://research.microsoft.com/pubs/155416/kinectfusion-uist-comp.pdf
- code: ?
Description: ...
Known problems:
- slow asymptotic
- required sensons: rgbd camera
- conference/journal: IEEE Transactions on Robotics, 2014
- paper: http://vision.cs.tum.edu/_media/spezial/bib/endres2013tro.pdf
- code: http://wiki.ros.org/rgbdslam
Description: ...
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- paper: https://db.tt/USWS9h3q
- required sensons: ?
- conference/journal: IEEE Transactions on Robotics, 2012
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- conference/journal: Robotics and Autonomous Systems, 2014
- paper: http://vision.in.tum.de/_media/spezial/bib/engel14ras.pdf
- additional paper: http://vision.in.tum.de/_media/spezial/bib/engel14ras.pdf
- additional paper: http://vision.in.tum.de/_media/spezial/bib/engel12iros.pdf
- project page: http://vision.in.tum.de/data/software/tum_ardrone
- code: https://github.com/tum-vision/tum_ardrone
- code description: http://wiki.ros.org/tum_ardrone
Description: ...
Known problems: ...
- paper: https://vision.in.tum.de/_media/spezial/bib/engel12iros.pdf
- required sensons: monocular camera, IMU
- conference/journal: Intelligent Robots and Systems (IROS), 2012
- videos: [1] [2]
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- paper: http://tinyurl.com/z5v7du5
- required sensons: monochrome monocular camera, IMU
- conference/journal: International Conference on Robotics and Automation (ICRA), 2010
Description: First, it is not a complete SLAM paper. Here authors only focus on depth estimation. Authors use monochrome 190 degrees camera to compute Pyramidal Lucas-Kanade Optical Flow. Having IMU data they compensate rotational part of the optical flow transformation and use the rest to compute “depth from motion”.
Known problems:
- The approach relies on optical flow (Pyramidal Lucas-Kanade)
- Since it is “depth from motion” paper, it requires textured environment.
- The approach assumes still environment
- paper: http://tinyurl.com/kgyaclz
- required sensons: ?
- conference/journal: International Symposium on Mixed and Augmented Reality (ISMAR), 2007
Description: ... Known problems: ...