Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Language and Spatial Cognition
Language and Spatial Cognition
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Integration of Multiple Feature Detection by a Bayesian Net for 3D Object Recognition
Mustererkennung 1998, 20. DAGM-Symposium
Steps toward a cognitive vision system
AI Magazine
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. (Advanced Information and Knowledge Processing)
Spatial knowledge representation for human-robot interaction
Spatial cognition III
Linguistic description of relative positions in images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Monitoring the execution of robot plans using semantic knowledge
Robotics and Autonomous Systems
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A video monitoring system using ontology-driven identification of threats
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Affordance-based human-robot interaction
Proceedings of the 2006 international conference on Towards affordance-based robot control
Indoor scene classification using combined 3D and gist features
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Semantic integration of heterogeneous recognition systems
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Hi-index | 0.00 |
The combination of vision and speech, together with the resulting necessity for formal representations, builds a central component of an autonomous system. A robot that is supposed to navigate autonomously through space must be able to perceive its environment as automatically as possible. But each recognition system has its own inherent limits. Especially a robot whose task is to navigate through unknown terrain has to deal with unidentified or even unknown objects, thus compounding the recognition problem still further. The system described in this paper takes this into account by trying to identify objects based on their functionality where possible. To handle cases where recognition is insufficient, we examine here two further strategies: on the one hand, the linguistic reference and labeling of the unidentified objects and, on the other hand, ontological deduction. This approach then connects the probabilistic area of object recognition with the logical area of formal reasoning. In order to support formal reasoning, additional relational scene information has to be supplied by the recognition system. Moreover, for a sound ontological basis for these reasoning tasks, it is necessary to define a domain ontology that provides for the representation of real-world objects and their corresponding spatial relations in linguistic and physical respects. Physical spatial relations and objects are measured by the visual system, whereas linguistic spatial relations and objects are required for interactions with a user.