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- W2605110003 abstract "Particle filters are a mathematical method that can be used to build a belief about the location of a robot in an environment that has a few known features, called landmarks. Each particle is a virtual copy of the robot, representing a possible robot’s location, that moves in the environment as the robot does, and with an associated probability, representing the likelihood of each location. Through cycles of move robot-update particles, sense-get likelihood and resample, the probability distribution changes to reflect the current belief. The environment is divided in cells and the probability of being in each cell is the sum of the particles in that cell. The orientation is the weighted mean of the orientations of the particles in a cell. The demo uses the simulator built for the AIRobots EU project." @default.
- W2605110003 created "2017-04-14" @default.
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- W2605110003 date "2012-01-01" @default.
- W2605110003 modified "2023-09-24" @default.
- W2605110003 title "4D-Particle Filter Localization for a Simulated UAV." @default.
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