Littar was the second-prize winning entry in an app competition. It implemented a system for visualizing places mentioned in individual literary works. Wikidata acted as the backend for the system. Here I describe the Littar system and also some of the issues I encountered while developing the system: How locations and literature can be related, what types of location-literature relations are p...

A novel statistical angle-of-arrival (AOA) model for indoor geolocation applications is presented. The modeling approach focuses on the arrivals of the multipath components with respect to the line-of-sight (LOS) path which is an important component especially when indoor geolocation applications are considered. The model is particularly important for indoor applications where AOA information c...

C urrently in development, numerous geolocation technologies can pinpoint a person's or ob-ject's position on the Earth. Knowledge of the spatial distribution of wireless callers will facilitate the planning, design, and operation of next-generation broadband wireless networks. Mobile users will gain the ability to get local traffic information and detailed directions to gas stations, restauran...

We investigate the influence of language on the accuracy of geolocating Twitter users. Our analysis, using a large corpus of tweets written in thirteen languages, provides a new understanding of the reasons behind reported performance disparities between languages. The results show that data imbalance has a greater impact on accuracy than geographical coverage. A comparison between micro and ma...

Following the development of synthetic aperture radar (SAR), SAR images have become increasingly common. Many researchers have conducted large studies on geolocation models, but little work has been conducted on the available models for the geometric correction of SAR images of different terrain. To address the terrain issue, four different models were compared and are described in this paper: ...

The task of geolocating targets from airborne video is required for many applications in surveillance, law enforcement, reconnaissance, etc. The usual approaches to target geolocation involve terrain data, single target tracking, gimbal control of camera heads, altimeters, etc. The main goal of this research is to eliminate those constraints and still develop an accurate, efficient, and robust ...

Introduction: Emerging indoor geolocation systems use either geometric techniques [1, 2], or pattern recognition algorithms [3, 4] to locate a user. This is done in two stages. The first stage is to observe some characteristic of the transmitted signal, such as received signal strength (RSS), or delay (TOA) to derive location metrics. The second stage is to feed these metrics into a geolocation...