A convex relaxation for approximate global optimization in simultaneous localization and mapping.
David M. RosenCharles DuHadwayJohn J. LeonardPublished in: ICRA (2015)
Keyphrases
- global optimization
- convex relaxation
- simultaneous localization and mapping
- convex optimization
- mobile robot
- globally optimal
- dynamic environments
- kalman filter
- multistage
- multi label
- data association
- particle filter
- particle swarm optimization
- semidefinite
- indoor environments
- mobile robotics
- multiple kernel learning
- optimization methods
- real environment
- robot navigation
- light field
- computer vision
- optimization problems
- optical flow
- reinforcement learning
- graph cuts
- denoising
- machine learning