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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