Abstract
This paper details the design and real-time implementation of a planar state estimator for soccer robots. A camera system, encoders, gyroscope and accelerometer are combined in a two-stage Kalman filter through a constant acceleration model. Inflating Noise Variance is employed to handle slip and ensure convergence in stationary periods. The approach oers substantial improvement w.r.t. the old pose estimator.
Original language | English |
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Number of pages | 4 |
Journal | Student Undergraduate Research E-Journal |
Volume | 4 |
DOIs | |
Publication status | Published - 9 Nov 2018 |