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Location based services: ongoing evolution and research agenda
- Haosheng Huang, G. Gartner, J. Krisp, M. Raubal, N. V. D. Weghe
- Computer ScienceJ. Locat. Based Serv.
- 3 April 2018
This article presents a series of key research challenges that are essential to advance the development of LBS, setting a research agenda for LBS to ‘positively’ shape the future of the authors' mobile information society.
A spatio‐temporal population model to support risk assessment and damage analysis for decision‐making
A simple spatio‐temporal model of population location that might improve risk assessment and damage analysis for decision‐making in both the Finnish Fire and Rescue Services and the Finnish Defence Forces is developed and implemented.
Segmentation of lines based on point densities--an optimisation of wildlife warning sign placement in southern Finland.
Georeferencing: a review of methods and applications
An overview of ongoing challenges of the georeferencing domain is provided by presenting, classifying and exploring the field and its relevant methods and applications.
Fuzzy inference approach in traffic congestion detection
ABSTRACT One of the major tasks within the concept of an intelligent transportation system is the immediate indication of traffic breakdowns. A conventional approach evaluates a traffic condition by…
Visualization and Communication of Indoor Routing Information
This paper investigates the display and communication of indoor routing instructions via small maps, map-like graphics and non-photorealistic presentations of interior spaces, and provides a case study within the Technical University Munich’s main building.
Progress in Location-Based Services
- J. Krisp
- Computer ScienceLecture Notes in Geoinformation and Cartography
- 3 January 2013
This book consists of peer-reviewed papers from the 9th symposium on Location Based Services (LBS) targeted to researchers, industry/market operators and students of different backgrounds and gives suggestions and guidance to further research.
Car navigation – computing routes that avoid complicated crossings
This paper investigates the idea of providing drivers a routing suggestion which avoids ‘complicated crossings’ in urban areas, using OpenStreetMap as a road dataset for the routing network and identifies crossings that are ‘Complicated’.
Visual bandwidth selection for kernel density maps
Geovisualization includes the concept of exploratory spatial data analysis to detect spatial clusters and its application in visual exploration and analysis.
Road Network Conflation: An Iterative Hierarchical Approach
A novel approach for conflating road networks of digital vector maps which iteratively employs multiple matching steps on different hierarchies of structures in order to progressively find, evaluate and refine possible solutions by recognizing and exploiting topological and geometrical relationships.