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Comparing Kalman filtering with Particle filtering as ways to localize and track the location of a robot in a known planar environment. The position and orientation of the robot is state. The only observation available to the robot is a single laser beam that measures range between the robot and an obstacle directly in front of it.
ybv/tracking_analysis
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Comparing Kalman filtering with Particle filtering as ways to localize and track the location of a robot in a known planar environment. The position and orientation of the robot is state. The only observation available to the robot is a single laser beam that measures range between the robot and an obstacle directly in front of it.
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