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cs:slam:start [2019/08/18 16:19] Steve Hemm [Tracking] |
cs:slam:start [2019/08/18 16:36] (current) Steve Hemm [Overview] |
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In robot navigation, a SLAM algorithm is used to construct a map of the robot's environment, while simultaneously locating the robot within that map. There are many different SLAM algorithms, but we are currently using a visual based system using the sub's right and left cameras. This allows us to link the system to Object Detection. | In robot navigation, a SLAM algorithm is used to construct a map of the robot's environment, while simultaneously locating the robot within that map. There are many different SLAM algorithms, but we are currently using a visual based system using the sub's right and left cameras. This allows us to link the system to Object Detection. | ||
- | The specific system we are using is [[https://github.com/raulmur/ORB_SLAM2|ORB-SLAM2]], an open source feature based visual slam system which we modified for the sub. | + | The specific system we are using is [[https://github.com/raulmur/ORB_SLAM2|ORB-SLAM2]], an open source feature based visual slam system which we modified for the sub. The paper describing the system can be found [[https://arxiv.org/pdf/1610.06475.pdf|here]]. |
The algorithm works by detecting features (such as edges and corners) in an image, and locates them in space using triangulation with other known map points. | The algorithm works by detecting features (such as edges and corners) in an image, and locates them in space using triangulation with other known map points. | ||
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==== Tracking ==== | ==== Tracking ==== | ||
- | -Tracking localizes the camera by comparing features in a local map. Local map is created by | + | -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]]. | -Detects features using the [[https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_fast/py_fast.html|FAST Algorithm]]. |