Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Multi-Sensor Fusion
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Multisensor fusion for autonomous driving reduces uncertainty by combining imperfect sensors, and a Kalman filter is the practical Bayesian tool for that—provided models stay linear and Gaussian, sensors are aligned i...