Geometric Map-Assisted Localization for Mobile Robots Based on Uniform-Gaussian Distribution.
Rui JiangShuai YangShuzhi Sam GeHan WangTong Heng LeePublished in: IEEE Robotics Autom. Lett. (2017)
Keyphrases
- gaussian distribution
- mobile robot
- map building
- loop closing
- robot localization
- mobile robot localization
- monte carlo localization
- maximum likelihood
- noise model
- path planning
- robot navigation
- multi robot
- simultaneous localization and map building
- simultaneous localization and mapping
- gaussian mixture model
- indoor environments
- maximum a posteriori estimation
- obstacle avoidance
- topological map
- autonomous navigation
- mobile robotics
- intensity distribution
- dynamic environments
- autonomous robots
- expectation maximization
- robotic systems
- unknown environments
- maximum a posteriori
- gaussian model
- image processing
- motion planning
- motion control
- high dimensional
- geometric structure
- em algorithm
- multi variate
- text classification
- similarity measure
- image segmentation