SLAM Framework Terms

SLAM Framework Terms

    SLAM is used for positioning it self in a position and do the map at the same. This map could be used for path planning and obstacle avoidance for automated vehicles.

    Learn about all the SLAM related terms 

    SLAM  = Simultaneous localizaiton and mapping 

    LiDAR = Light detection and ranging

    AUV    = Unnamed autonomous vehicle

    IMU      = Inertial Measurement Unit

    vSLAM = Visual SLAM

    ToF       = Time of Flight. A range imaging camera

    Point cloud data = The output of LiDAR sensor. The point could be 2D(x, y) or 3D(x, y, z). 

    ICP        = Iterative closes point

    NDT       = Normal distribution transform. An algorithm used for matching data from point cloud

    PnP        = Perspective-n-point

    TAM       = Tracking and mapping

    PTAM    = Parallel tracking and mapping

    EKF       = Extended Kalman feature. It's an algorithm

    DoF       = Degree of freedom. This is used EKF

    BA         = Bundle adjustment

    Rolling shutter = Rolling shutter is a method of image capture in which a still picture (in a still camera) or each frame of a video (in a video camera) is captured not by taking a snapshot of the entire scene at a single instant in time but rather by scanning across the scene rapidly, vertically, horizontally or rotationally

    ORB-SLAM = Oriented FAST and Roated BRIEF

    LSD-SLAM = Large scale direct monocular SLAM

    DSO-SLAM = Direct sparse odometry SLAM

    BoW            = Bag of words

    SIFT            = Scale invarient feature transform

    SURF          = Speeded up robust feature

    LSTM          = Long short-term memory