Efficient and Robust Semantic Mapping for Indoor Environments
Author:
Affiliation:
1. Technische Universität Ilmenau,Neuroinformatics and Cognitive Robotics Lab,Ilmenau,Germany,98693
Funder
Federal Ministry of Education and Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812205.pdf?arnumber=9812205
Reference31 articles.
1. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
2. On the accuracy of the 3D Normal Distributions Transform as a tool for spatial representation
3. OctoMap: an efficient probabilistic 3D mapping framework based on octrees
4. Fast, accurate gaussian process occupancy maps via test-data octrees and nested Bayesian fusion
5. Bayesian generalized kernel inference for occupancy map prediction
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