PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data.
Juncong FeiKunyu PengPhilipp HeidenreichFrank BiederChristoph StillerPublished in: IV (2021)
Keyphrases
- map estimation
- lidar data
- semantic grid
- maximum a posteriori
- information services
- semantic web
- markov random field
- urban environments
- maximum likelihood
- grid computing
- point cloud
- high resolution
- grid infrastructure
- semantic web technologies
- e learning
- hyperspectral imagery
- watershed segmentation
- em algorithm
- noisy images
- urban areas
- high dimensional
- sparse representation
- expectation maximization
- knowledge representation
- three dimensional
- geographically distributed
- image reconstruction
- load balancing
- energy function
- ground truth