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- W2147029052 abstract "We describe a method for the reconstruction of a driven trajectory of a mobile robot if the begin and end states of the trajectory are known, and intermediate readings from odometry are available. Our method uses a Kalman filter to combine a forward and backward dead-reckoning trajectory. We show that our method is more reliable for long trajectories than just combining the dead-reckoning trajectories independently." @default.
- W2147029052 created "2016-06-24" @default.
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- W2147029052 date "2003-06-25" @default.
- W2147029052 modified "2023-09-25" @default.
- W2147029052 title "Trajectory reconstruction for self-localization and map building" @default.
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- W2147029052 doi "https://doi.org/10.1109/robot.2002.1014802" @default.
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