On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics.
Connor HolmesFrederike DümbgenTimothy D. BarfootPublished in: CoRR (2023)
Keyphrases
- semidefinite
- estimation problems
- semidefinite programming
- state estimation
- convex relaxation
- interior point methods
- sufficient conditions
- computer vision
- convex optimization
- state space
- parameter estimation
- higher dimensional
- convex sets
- covariance matrices
- finite dimensional
- mixture model
- model selection
- least squares
- probabilistic model
- lower bound