A New Paradigm for Dealing With Manifold Structures in Visual Inertial Odometry by Using Stable Embedding.
Jae-Hyeon ParkSangbaek YooDong Eui ChangPublished in: IEEE Trans. Control. Syst. Technol. (2024)
Keyphrases
- inertial sensors
- nonlinear dimensionality reduction
- graph embedding
- manifold embedding
- visual information
- sensor fusion
- visual features
- dynamic model
- position and orientation
- geodesic distance
- visual perception
- embedding space
- vector space
- multidimensional scaling
- manifold structure
- feature selection
- euclidean space
- motion sequences
- high dimensional data
- low dimensional