2020
Variational Inference With Parameter Learning Applied to Vehicle Trajectory Estimation
RA-L 2020
We present parameter learning in a Gaussian variational inference setting using only noisy measurements (i.e., no groundtruth). This is demonstrated in the context of vehicle trajectory estimation, although the method we propose is general. The letter extends the Exactly Sparse Gaussian Variational