EnvMod
Environment Modeling
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We focus on point cloud based representation and reasoning techniques for building accurate and meaningful 3D maps for mobile robots in both indoor and outdoor environments. One of our main application and deployment scenario is the Assistive Kitchen. However, all our methods were carefully crafted with generality in mind, therefore they have been also successfully applied to outdoor urban, aerial, and underwater datasets.
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Research Topics
- 3D Geometric Reasoning
- Laser Segmentation
- Probabilistic Model Fitting
- Intelligent Perception
- Multimodal 3D Localization
- Semantic Mapping
- Probabilistic Models
- Probabilistic Reasoning
- Statistical Relational Learning
Application Domain
- Intelligent Kitchen
Project Details
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Former Webpage
The old webpage of our research thread can be found here to get a general impression. We are currently in a transition period, but will upload our latest results as soon as possible. In the mean time feel free to contact us!
Selected Publications
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Persistent Point Feature Histograms for 3D Point Clouds, 2008, Proceedings of the 10th International Conference on Intelligent Autonomous Systems (IAS-10), Baden-Baden, Germany,(BibTeX)
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Autonomous Mapping of Kitchen Environments and Applications, 2008, Proceedings of the 1st International Workshop on Cognition for Technical Systems, Munich, Germany, 6-8 October,(BibTeX)
Media
- Logo
- basic flowchart

