Issue Downloads
Automatic Deep Inference of Procedural Cities from Global-scale Spatial Data
Recent advances in big spatial data acquisition and deep learning allow novel algorithms that were not possible several years ago. We introduce a novel inverse procedural modeling algorithm for urban areas that addresses the problem of spatial data ...
On Location Relevance and Diversity in Human Mobility Data
The theme of human mobility is transversal to multiple fields of study and applications, from ad hoc networks to smart cities, from transportation planning to recommendation systems on social networks. Despite the considerable efforts made by a few ...
Processing Continuous k Nearest Neighbor Queries in Obstructed Space with Voronoi Diagrams
With the emergence and growing popularity of and location-based service (LBS) technologies, the continuous k nearest neighbor (COkNN) query in obstructed space is becoming a very important service. In this article, we study the COkNN in obstructed space,...
A Map Inference Approach Using Signal Processing from Crowd-sourced GPS Data
The amount of GPS data that can be collected is increasing tremendously, thanks to the increased popularity of Global Position System (GPS) devices (e.g., smartphones). This article aims to develop novel methods of converting crowd-sourced GPS traces ...
Indoor Quality-of-position Visual Assessment Using Crowdsourced Fingerprint Maps
Internet-based Indoor Navigation (IIN) architectures organize signals collected by crowdsourcers in Fingerprint Maps (FMs) to improve localization given that satellite-based technologies do not operate accurately in indoor spaces where people spend 80%–...
