|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Indoor localization for pedestrians with real-time capability using multi-sensor smartphones显示文摘The localization of persons or objects usually refers to a position determined in a spatial reference system.Outdoors,this is usually accomplished with Global Navigation Satellite Systems(GNSS).However,the automatic positioning of people in GNSS-free environments,especially inside of buildings(indoors)poses a huge challenge.Indoors,satellite signals are attenuated,shielded or reflected by building components(e.g.walls or ceilings).For selected applications,the automatic indoor positioning is possible based on different technologies(e.g.WiFi,RFID,or UWB).However,a standard solution is still not available.Many indoor positioning systems are only suitable for specific applications or are deployed under certain conditions,e.g.additional infrastructures or sensor technologies.Smartphones,as popular cost-effective multi-sensor systems,is a promising indoor localization platform for the mass-market and is increasingly coming into focus.Today’s devices are equipped with a variety of sensors that can be used for indoor positioning.In this contribution,an approach to smartphone-based pedestrian indoor localization is presented.The novelty of this approach refers to a holistic,real-time pedestrian localization inside of buildings based on multisensor smartphones and easy-to-install local positioning systems.For this purpose,the barometric altitude is estimated in order to derive the floor on which the user is located.The 2D position is determined subsequently using the principle of pedestrian dead reckoning based on user's movements extracted from the smartphone sensors.In order to minimize the strong error accumulation in the localization caused by various sensor errors,additional information is integrated into the position estimation.The building model is used to identify permissible(e.g.rooms,passageways)and impermissible(e.g.walls)building areas for the pedestrian.Several technologies contributing to higher precision and robustness are also included.For the fusion of different linear and non-linear data,an advanced algorithm based on the Sequential Monte Carlo method is presented. | Catia Real Ehrlich Jörg Blankenbach | 2019 | Geo-Spatial Information Science2019，22，2： | 1 |
| 2 | PPARγ agonists upregulate sphingosine 1-phosphate (S1P) receptor 1 expression, which in turn reduces S1P-induced [Ca 2+ ] i increases in renal mesangial cells显示文摘 | Alexander Koch Anja V?lzke Bianca Puff Kira Blankenbach Dagmar Meyer zu Heringdorf Andrea Huwiler Josef Pfeilschifter | 2013 | BBA - Molecular and Cell Biology of Lipids2013，，： | 1 |
| 3 | CityGML goes mobile: application of large 3D CityGML models on smartphones显示文摘CityGML,a semantic information model for digital/virtual city models has become quite popular in various scenarios.While the data format is still actively under development,it is already supported by different software solutions,especially GIS-based desktop applications.Mobile systems on the other hand are still neglected,even though the georeferenced objects of CityGML have many application fields,for example,in the currently popular area of location-based Augmented Reality.In this paper we present an independent multi-platform CityGML viewer,its architecture and specific implementation techniques that we use to realize and optimize the process of visualizing CityGML data for use in Augmented Reality.The main focus lies in improving the implementation on mobile devices,such as smartphones,and assessing its usability and performance in comparison to web-based approaches.Due to the constrained hardware resources of smartphones,it is a particular challenge to handle complex 3D objects and large virtual worlds as provided by CityGML,not only in terms of memory and storage space,but also with respect to mobile processing units and display sizes. | Christoph Blut Timothy Blut Jörg Blankenbach | 2019 | International Journal of Digital Earth2019，12，1： | 0 |
| 4 | Enhancing the OGC WPS interface with GeoPipes support for real-time geoprocessing显示文摘Real-time geospatial information is used in various applications such as risk management or alerting services.Especially,the rise of new sensing technologies also increases the demand for processing the data in real time.Today’s spatial data infrastructures,however,do not meet the requirements for real-time geoprocessing.The OpenGIS®Web Processing Service(WPS)is not designed to process real-time workflows.It has some major drawbacks in asynchronous processing and cannot handle(geo)data streams out of the box.In previous papers,we introduced the GeoPipes approach to share spatiotemporal data in real time.We implemented the concept extending the Message Queue and Telemetry Transport(MQTT)protocol by a spatial and temporal dimension,which we call GeoMQTT.In this paper,we demonstrate the integration of the GeoPipes idea in the WPS interface to expose standardized real-time geoprocessing services.The proof of the concept is illustrated in some exemplary real-time geo processes. | Stefan Herle Jörg Blankenbach | 2018 | International Journal of Digital Earth2018，11，1： | 0 |
| 5 | Three-dimensional CityGML building models in mobile augmented reality: a smartphone-based pose tracking system显示文摘Many augmented reality(AR)systems are developed for entertainment,but AR and particularly mobile AR potentially have more application possibilities in other fields.For example,in civil engineering or city planning,AR could be used in combination with CityGML building models to enhance some typical workflows in planning,execution and operation processes.A concrete example is the geo-referenced on-site visualization of planned buildings or building parts,to simplify planning processes and optimize the communication between the participating decision-makers.One of the main challenges for the visualization lies in the pose tracking,i.e.the real-time estimation of the translation and rotation of the mobile device to align the virtual objects with reality.In this paper,we introduce a proof-of-concept fine-grained mobile AR CityGML-based pose tracking system aimed at the mentioned applications.The system estimates poses by combining 3D CityGML data with information derived from 2D camera images and an inertial measurement unit and is fully self-sufficient and operates without external infrastructure.The results of our evaluation show that CityGML and low-cost off-the-shelf mobile devices,such as smartphones,already provide performant and accurate mobile pose tracking for AR in civil engineering and city planning. | Christoph Blut Jörg Blankenbach | 2021 | International Journal of Digital Earth2021，14，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员