Ulteriori informazioni
Our environment is increasingly pervaded by embedded systems which are integrated into everyday objects, equipped with sensors and actuators, networked among each other and available at any time and in any location. These computationally augmented real-world objects must be supplied with context-awareness and need to share the perceived context-information to enable them to operate more autonomously.
Clemens Holzmann investigates the role of spatial contexts for autonomous embedded systems, in particular the position, direction, and spatial extension of objects with respect to an external reference system or other objects. The author presents concepts for recognizing, representing, and reasoning about qualitative spatial relations and their changes over time, as well as an appropriate architecture which has prototypically been implemented in a flexible software framework. His results show that the proposed concepts are suitable for developing spatially aware applications and that qualitatively abstracted relations can constitute an adequate basis for this purpose.
Sommario
Spatial Awareness.- Representation of Space.- Distributed Spatial Reasoning.- Rule-Based Spatial Awareness.- Zones-of-Influence Framework.- Framework Evaluation.
Info autore
Dr. Clemens Holzmann is a research and teaching assistant at the Institute for Pervasive Computing of the Johannes Kepler University of Linz (Austria). His research interests include location awareness and context awareness as well as wireless ad hoc and sensor networks.
Riassunto
Our environment is increasingly pervaded by embedded systems which are integrated into everyday objects, equipped with sensors and actuators, networked among each other and available at any time and in any location. These computationally augmented real-world objects must be supplied with context-awareness and need to share the perceived context-information to enable them to operate more autonomously.
Clemens Holzmann investigates the role of spatial contexts for autonomous embedded systems, in particular the position, direction, and spatial extension of objects with respect to an external reference system or other objects. The author presents concepts for recognizing, representing, and reasoning about qualitative spatial relations and their changes over time, as well as an appropriate architecture which has prototypically been implemented in a flexible software framework. His results show that the proposed concepts are suitable for developing spatially aware applications and that qualitatively abstracted relations can constitute an adequate basis for this purpose.
