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Uses PyTorch tensors and autograd | The extended Kalman filtering algorithm as a class: mean and covariance are attributes and propagation in time are methods | PyTorch autograd is used to return the jacobians of the state and measurement dynamics | Example.py presents a quick demo.

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Extended-Kalman-Filter-UsingPyTorchAutoGrad

Uses PyTorch tensors and autograd | The extended Kalman filtering algorithm as a class: mean and covariance are attributes and propagation in time are methods | PyTorch autograd is used to return the jacobians of the state and measurement dynamics | Example.py presents a quick demo.

In the case of linear state and measurement dynamics, the presented code works as the usual Kalman filtering algorithm.

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Uses PyTorch tensors and autograd | The extended Kalman filtering algorithm as a class: mean and covariance are attributes and propagation in time are methods | PyTorch autograd is used to return the jacobians of the state and measurement dynamics | Example.py presents a quick demo.

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