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In this we recursively estimate the position of a vehicle along a trajectory using available measurements and a motion model.

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EVT_EKF

In this, the position of a vehicle is recursively estimated along a trajectory using available measurements and a motion model. The vehicle is equipped with a very simple type of LIDAR sensor, which returns range and bearing measurements corresponding to individual landmarks in the environment. The global positions of the landmarks and known data association, that is, which measurment belongs to which landmark, are assumed to be known beforehand.

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In this we recursively estimate the position of a vehicle along a trajectory using available measurements and a motion model.

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