Flood forecasting is particularly difficult and uncertain for small drainage basins. One reason for this is due to inadequate temporal and spatial hydrological input variables for model-based flood predictions. Incorporating additional information collected by volunteers with the help of their smartphones can improve flood forecasting systems. Data collected in this way is often referred to VGI data (Volunteered Geographic Information data). This paper discusses how this information can be incorporated into a flood forecasting system to support flood management in small drainage basins on the basis of mobile VGI data. It therefore outlines the main functional components involved in such a VGI-based flood forecasting platform while presenting the component for mobile data acquisition (mobile sensing) in more detail. In this context, relevant measurement variables are first introduced and then suitable methods for recording these data with mobile devices are described. The focus of the paper lies on discussing various methods for measuring the water level using inbuilt smartphone sensors. For this purpose, three different image-based methods for measuring the water level at the banks of small rivers using a mobile device and the inbuilt orientation and camera sensors are explained in detail. It is shown that performing the measurements with the user's help via appropriate user interaction and utilising known structures at the measuring points results in a rather robust image-based measurement of the water level. A preliminary evaluation of the methods under ideal conditions found that the developed measurement techniques can achieve both an accuracy and precision of less than 1cm.
The authors present a vision based augmented reality system called Happy Measure to facilitate the measurement, 3D modeling, and visualization of furniture and other objects using a smartphone or mobile device equipped with a camera. They also study the concomitant interaction metaphors that enable interactive 3D model capture and manipulation in augmented environments. The proposed system allows for interactive measurement of an object’s size and the creation of primitive based 3D models from a single photograph. The appearance of the furniture (color textured model) is captured by the system using the underlying (or multiple) images taken by the user. This allows the user to capture textured 3D models of furniture or other objects and manipulate them virtually for visualization purposes. The authors compare two interaction metaphors used to capture 3D textured models of object to ensure easy interaction while still obtaining accurate measurements in a user test. Results suggest that one is superior in terms of measurement accuracy and also subjective user experience as it allows for continuous touch interaction on the whole screen. Virtually placing a modeled object in another location is another aspect of the presented system and the authors explore a novel interaction paradigm to perform this task along with initial user tests.
GeoAR, or location-based augmented reality, can be used as an innovative representation of location-specific information in diverse applications. However, there are hardly any software development kits (SDKs) that can be effectively used by developers, as important functionality and customisation options are generally missing. This article presents the concept, implementation and example applications of a framework, or GeoAR SDK, that integrates the core functionality of location-based AR and enables developers to implement customised and highly adaptable mobile application with GeoAR.
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