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cs:slam:start [2019/05/01 13:47]
Steve Hemm [How it Works]
cs:slam:start [2019/08/18 16:20]
Steve Hemm [Tracking]
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-====== SLAM (Page still under construction) ​======+====== SLAM ======
 ====== Simultaneous Localization and Mapping ====== ====== Simultaneous Localization and Mapping ======
  
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 {{:​cs:​slam:​orb2.png}} {{:​cs:​slam:​orb2.png}}
  
-ORB-SLAM2 is a feature based algorithm that takes keyframes from video output and extracts keypoints or features(such as corners), and uses them to establish location of the sub and its surroundings.+ORB-SLAM2 is a feature based algorithm that takes keyframes from video output and extracts keypoints or features (such as corners), and uses them to establish location of the sub and its surroundings
 + 
 +It consists of three main modules: Tracking, Local Mapping, and Loop Closing.
 ==== Tracking ==== ==== Tracking ====
 +
 +-Tracking localizes the camera by comparing features in a local map.  ​
 +
 +-Detects features using the [[https://​docs.opencv.org/​3.0-beta/​doc/​py_tutorials/​py_feature2d/​py_fast/​py_fast.html|FAST Algorithm]].
 +
 +-Describes features using [[https://​opencv-python-tutroals.readthedocs.io/​en/​latest/​py_tutorials/​py_feature2d/​py_orb/​py_orb.html|ORB Algorithm]].
 +
 +-Selects a new keyframe.
 +
 +-If localization is lost, uses Place Recognition module to relocate.
 +
 +
 +
 ==== Local Mapping ==== ==== Local Mapping ====
 +
 +-Keyframes are added to co-visibility graph Spanning Tree.
 +
 +-New Map points are creates by triangulating matching ORB features from different keyframes.
 +
 +-Validity of map point is checked by seeing if it is found in other keyframes where it is predicted to be. Must be seen by at least 3 other keyframes.
 +
 +
 ==== Loop Closing ==== ==== Loop Closing ====
 +
 +-Loop closing is when the sub recognizes that it has returned to a previous location and adjust map points to accommodate.
 +
 +-To detect possible loops, check bag of words vectors in Place Recognition module of the current keyframe and its neighbors in the co-visibility graph.
 +
 +-If loop candidate is found preform similarity transform.
 +
 +-Fuse map points and preform bundle adjustment.
 ==== Map ==== ==== Map ====
 +
 +Each map point stores:
 +    *Its 3D position in the world coordinate system.
 +
 +    *ORB descriptor.
 +
 +    *The maximum dmax and minimum dmin distances at which the point can be observed, according to the scale invariance limits of the ORB features.
 ==== Place Recognition ==== ==== Place Recognition ====