Published May 4, 2021
| Version Chapter 3
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Position, Velocity and Acceleration Tracking Using Kalman Filter
Creators
- 1. General Department, University of Thessaly, Lamia, Greece.
- 2. Department of Computer and Biomedical Informatics, University of Thessaly, Lamia, Greece.
- 3. General Department, National and Kapodistrian University of Athens, Greece.
- 4. Cross Software Solutions IKE, Piraeus, Greece.
Description
Constant acceleration movement in one, two and three dimensions can be modeled using time invariant models. Position, velocity and acceleration tracking is obtained using time invariant Kalman filter and steady state Kalman filter. The derived estimation and prediction are reliable.
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