State Estimation for Robotics

@inproceedings{Barfoot2017StateEF,
  title={State Estimation for Robotics},
  author={T. Barfoot},
  year={2017}
}
181 Citations
A Linear- and Linear-Matrix-Inequality-Constrained Extended Kalman Filter
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Expanding the Limits of Vision-Based Autonomous Path Following
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On the Manifold: Representing Geometry in C++ for State Estimation
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A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration
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Robust Stereo Visual Inertial Navigation System Based on Multi-Stage Outlier Removal in Dynamic Environments
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The Geometry and Kinematics of the Matrix Lie Group $SE_K(3)$.
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Odometry-Vision-Based Ground Vehicle Motion Estimation With SE(2)-Constrained SE(3) Poses
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Reducing Bias in Lidar-Only Motion Estimation
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Toward Invariant Visual-Inertial State Estimation using Information Sparsification
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Geometric Science of Information
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