Location-Based Services(LBS) are information services which are available through mobile devices inside a mobile network and can take advantage of the location of the mobile device. With the majority of the world population living in urban areas and using complex transportation systems, they can be used to assist people to use the public transportation systems more effectively and efficiently. This research aims to contribute to the improvement of LBS through the use of a new kind of a schematic map, called spider map that brings together geographic information in particular in its central location, or hub, with a schematic information of the overall transport network originating in the hub, including for instance relevant stops and their locations. These maps present an innovative layout that includes context information relevant for the users. They can be used to increase LBS user satisfaction and therefore increase the intention to use Public Transportation Services.

Spider Maps for Location-Based Services Improvement

We present an approach to mobile robot guidance. The proposed architecture grants an abstract interface to robot naviga- tion allowing to bridge from perception to high level control. The approach is based upon a comprehensive map representing metric, configurational, and topological knowledge. Robot instruction and localization is dealt with by communicating and reasoning about cyclic ordering information of shape-features. 1 Motivation Service robots are a growing field of interest and are higly relevant, not only for the research community but also for companies that try to take a share in an emerging market. Within near future, office com- plexes populated with various heterogenous service robots are a very probable scenario resulting in a range of different problems, for ex- ample coordination among the robots and interaction with human users. A key point to instructing robots is to communicate spatial in- formation, for example when commanding a robot to visit a certain place. To provide sufficient control over the various robots, a com- patible method of instruction is required for all of them. As a con- sequence, the spatial representations of the individual robots would need to be compatible with each other. In the presence of different robot systems from various vendors, equipped with different sensors, this is a non-trivial task. Moreover, the chosen method of instruction needs to mediate between the technical abilities of a robot and its often data-driven spatial representation and features desired in a user interaction that are based on more abstract spatial information. To consolidate these different demands we propose a central robot guidance system. A qualitative language, i.e. relational information, is applied for communication with the robots. Allowing for an easy formalization, qualitative information offers a good means for a spec- ification of such a system, which also respects individual robots' ca- pabilities. In particular, a system based on qualitative information can serve as an interface to a human user. Furthermore, with robot guid- ance it is possible to restrict the spatial representation of an individual robot to the needs of its specific task, like cleaning of the floor. There is no need to represent the complete working environment within each single robot. Especially within dynamic environments the man- agement, i.e. construction and maintenance, of a spatial representa- tion is a difficult task that has not been solved thoroughly yet (20). Freeing individual service robots from this burden, our proposed ar- chitecture is a slender one. The robot guidance outlined here does not rely upon a precise or even correct map of the environment. Typically, environments are subject to steady changes. Therefore, handling of unreliable, or even conflicting knowledge is of high importance. The proposed guidance

/pdf/schematized-aspect-maps-for-robot-guidance-3ik36zyneg.pdf

Schematized Aspect Maps for Robot Guidance

Schematic Maps are mainly used for depicting transportation networks. They are generated through a schematization process where irrelevant details are eliminated and important details are emphasized. This process, being manually performed by teams of expert designers, is expensive and time consuming. Such manual execution is unsuitable for the production of schematic maps for location-based services or on-demand schematic maps, as near real-time and user-centered properties are needed. This work proposes GeneX, a framework that can support the automated generation of schematic maps. The framework and a new algorithms developed were able to completely eliminate erroneous map point placement, and to decrease by 33% the contention for map point placement, producing schematic maps without human intervention in soft real time.

/pdf/a-software-framework-for-the-automated-production-of-1utm8cbfop.pdf

A Software Framework for the Automated Production of Schematic Maps

Schematizing Maps: Simplification of Geographic

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Schematizing Maps: Simplification of Geographic

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Spider Maps for Location-Based Services Improvement

Schematized Aspect Maps for Robot Guidance

A Software Framework for the Automated Production of Schematic Maps

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