LiTAMIN: LiDAR-based Tracking And Mapping by Stabilized ICP for Geometry Approximation with Normal Distributions.
Masashi YokozukaKenji KoideShuji OishiAtsuhiko BannoPublished in: IROS (2020)
Keyphrases
- normal distribution
- point cloud
- standard deviation
- covariance matrix
- random variables
- range images
- particle filter
- mixture distribution
- appearance model
- probability distribution
- high resolution
- feature extraction
- probability density function
- surface registration
- machine learning
- upper bound
- probabilistic model
- three dimensional
- image segmentation