Qualitative map learning based on covisibility of objects
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- Type
- article
- Published
- 2003-08-09
- Cited by
- 10
- References
- 74
- Access
- Open access
- OpenAlex
- https://openalex.org/W17822983
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1617143
Keywords
Visibility, Heuristics, Computer science, Artificial intelligence, Object (grammar)
References
- Technical Note: Q-Learning
- Indexing and abstracting by association. Part I
- Techniques to Collect and Analyze the Cognitive Map Knowledge of Persons with Visual Impairment Or Blindness: Issues of Validity
- Topological Mapping for Mobile Robots Using a Combination of Sonar and Vision Sensing
- Decoupling odometry and exteroceptive perception in building a global world map of a mobile robot: the use of local maps
- Artificial intelligence and mobile robots: case studies of successful robot systems
- Learning Topological Maps with Weak Local Odometric Information
- Integrating Exploration, Localization, Navigation and Planning with a Common Representation
- Computational principles of mobile robotics
- Globally Consistent Range Scan Alignment for Environment Mapping
- Qualitative Spatial Representation and Reasoning: An Overview
- Incremental mapping of large cyclic environments
- Evaluation of Digital Library Impact and User Communities by Analysis of Usage Patterns
- A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations
- Straight monotonic embedding of data sets in Euclidean spaces
- Qualitative Navigation for Mobile Robots
- Indexing and abstracting by association
- Robust world-modelling and navigation in a real world
- Drawing graphs nicely using simulated annealing
- Learning Metric-Topological Maps for Indoor Mobile Robot Navigation
Cited by
- Localization, Exploration, and Navigation Based on Qualitative Angle Information
- Map Building By Multi-dimensional Scaling of Co-visibility Data
- Map Building By Non-linear Dimensionality Reduction of Historical Visibility Data
- Map building by mobile robots with incomplete and qualitative observation
- Map building without localization by dimensionality reduction techniques
- Localization by Co-observing Robots
- Designing hardware and software systems toward very compact and fully autonomous quadrotors
- Bearing-only mapping by sequential triangulation and multi-dimensional scaling
- Perspectives on using deep learning for system health management
- Covisibility-Based Map Learning Method for Mobile Robots
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- Discussion of a set of points in terms of their mutual distances