Spatial Cognition and the Processing of Verticality in Underground Environments
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
A Formal Model of the Process of Wayfinding in Built Environments
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Pedestrian navigation aids: information requirements and design implications
Personal and Ubiquitous Computing
Exploring the use of landmarks for mobile navigation support in natural environments
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Ontology Based Spatial Planning for Human-Robot Interaction
TIME '10 Proceedings of the 2010 17th International Symposium on Temporal Representation and Reasoning
An experimental ant colony approach for the geolocation of verbal route descriptions
Knowledge-Based Systems
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Analysis of verbal route descriptions and landmarks for hiking
Personal and Ubiquitous Computing
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When maps are not available verbal route descriptions provide a useful alternative for humans navigating in a natural environment. The semantics that emerge from such descriptions encompass several modelling abstractions that have been long studied by spatial cognition. However, a formal representation of navigation descriptions still remains a research challenge. The objective of the research presented in this paper is to provide a modelling approach for the description and fusion of several verbal route descriptions, and to identify the relevant places that emerge. A semantic spatial network is derived, thus generating a conceptual map that might be used for pedestrian navigation. The semantic spatial network is generated after application of a genetic algorithm and fusion rules to verbal route descriptions recorded by several humans navigating in a given natural environment. Preliminary results are encouraging but still have to be compared with real maps and with expert knowledge.