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