Prof. Dr. Pedro José Marrón
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1 Prof. Dr. Pedro José Marrón
2 Location-Based-Services Information services Accessible through mobile devices Using a data network / channel Combining position information with different data sources Correlation of location, time and additional sensor information
3 Locoslab Technologies Location infrastructure Locationbased Services Data Analysis 3
4 Location Infrastructure Locationbased Services Data Analysis 4
5 Outdoor Localization Usually based on GPS Accurate up to m Enough for most applications Problem satisfactorily solved
6 Indoor Localization Systems UWB: Very accurate but high calibration / installation costs GSM: Inaccurate but almost no calibration / installation costs RFID: Accurate but high calibration costs and directional antennas WLAN: As accurate as GPS and lower calibration / installation costs Source: Lui et al., IEEE Transactions on Systems, Man and Cybernetics, vol 37, no 6, 2007
7 Localization Infrastructure Cloud-based localization Installation Provisioning of maps Installation of necessary hardware WLAN access points ibeacon Senders System calibration Positioning System Administrator User 7
8 Locoslab Technologies Location Infrastructure Locationbased Services Data Analysis 8
9 LBS Architecture Positioning System Shops Services Tourist information Marketing and Couponing Agregation of information sources from the cloud 9
10 Locoslab Technologies Location Infrastructure Locationbased Services Data Analysis 10
11 Data Analysis Usage of data to improve the infrastructure Analysis of robustness Identification of hotspots Identification of crowded areas 11
12 Locoslab Technologies Supports indoor and outdoor environments Supports a variety of deployments Easy to deploy and maintain Location Infrastructure Locationbased Services Data Analysis Provides added value to deployment owners Enables robustness of deployments 12
13 Airports, Metro Stations
14 Trade Fairs / Conferences
15 Office, Shopping Centers
16 Warehouses, Logistics
17 Locoslab Technologies Supports indoor and outdoor environments Supports a variety of deployments Easy to deploy and maintain Location Infrastructure Locationbased Services Supports a variety of indoor and outdoor applications Enables integration of other cloud services Other client apps are potential partners, not competitors Data Analysis Provides added value to deployment owners Enables robustness of deployments 17
18
19 Architecture Realization of 4 SIMON services o SIMON SAYS Validation and verification of badges o SIMON BOOKS Availability of parking spaces o SIMON OPENS Access to restricted areas o SIMON ANSWERS Navigation services Realization of 3 SIMON applications Park meters adaptor SIMON ANSWERS Service o SIMON LEADS Mobile application for elderly and disabled citizens o SIMON CONTROLS Mobile application for parking controllers o SIMON BACKOFFICE Web application for administrative users End-user SIMON SAYS Service Park meters SMART CARD SMARTPHONE Android SIMON LEADS SIMON OPENS Service Barriers adaptor Access control (barriers) SIMON BOOKS Service Map tile(s) server SIMON BACKOFFICE Parking resources and access control manager Db Routing service Authority operator (web browser) OSM data City data repository SIMON BACKOFFICE Web Application TSM (Users access and security manager) Db GTFS data SMART CARD Data adaptor(s) Data adaptor(s) Static parking & restricted areas data Other external data sources SMARTPHONE SIMON CONTROLS Controller SIMON CONTROLS Front-end Usage and incidents logger Db
20 Locoslab s Responsibilities Workshop 20
21 Outdoor Maps OSM Open Street Map: generic, open and extensible model of the physical world Data is provided in XML-format not usable by end user Locoslab Services Locoslab Rendering Service o Visualization of data at different levels of detail (zoom level)
22 Outdoor Maps Locoslab Services Locoslab Geo Service o Search for address by name (geo coding) or by location (reverse geo coding) Locoslab Street Router Service o Computation of walking and driving routes
23 Transit Data GTFS General Transit Feed Specification: data format defined by Google Inc. to model transit networks and schedules o Use in Google Maps o Contains all data needed for route computations for public transport Data is provided as set of CSV files not usable by end-users
24 Transit Data Locoslab Services Locoslab Transit Service o Computation of multimodal transit routes Optimization for different goals (accessible, shortest duration, least walking) o Computation of daily schedules for stops and vehicles o Integration with other services Geo service: search for stops Street router: compute walking instructions from/to stops
25 Indoor Maps - Locoslab IPS Special model to enable simple integration of floor maps in map data o Floor plans are either geometric shapes (similar to OSM) or simple images o Points of interest o Routing
26 Indoor Maps Localization Deployment of inexpensive, battery- powered Bluetooth LE beacons in target building Calibration with Locoslab systems to capture the signal propagration in the building Algorithm fine-tuning with Locoslab services to optimize localization accuracy Integration into mobile application via Locoslab software development kit
27 Simon Mobile Application Functions o Support multi-modal navigation o Support usage of badge (validation/access) Design and implementation o Derived with input from two user groups o Conceptual design of application functions o Interaction flow follows conceptual designs o Consideration of accessibility best practice Evaluated in small scale pilot Fine tuning final version of SIMON Mobile app
28 Simon Mobile Features Navigation o Explore the environment o Search and find places o Bookmark favorite places o View transit schedules o Compute routes and use step-by-step navigation Disabled Badge o Validate parkings o Access to restricted zones o Usage History
29 Simon Mobile Features Integration with Locoslab App Analytics o Gathering of explicit and implicit feedback o Explicit via in-app questionaires o Implicit via anonymous usage data o Statistical analysis of aggregate user behavior How are users using the application? How do they respond to q Are there any usability problems? Are users prefering NFC or QR codes?. uestions?
30 LBS 2.0 Characteristics Supports indoor and outdoor environments and applications Supports different scenarios End-user scenarios Business-class scenarios Enables integration of other cloud services Other client apps are considered partners, not competitors
31 Contact Information Telephone: Locoslab GmbH Beethovenallee Bonn
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