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1
Matthias Joest
Heidelberg mobil International GmbH
Indoor navigation services for trade shows Best practices in dynamic spatial setups
...its to late now“
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Heidelberg Mobil – A bit of history
• Germanys first WIFI City Portal.
• 2006 – 2011
• Unique setup with own wireless infrastructure, content and platform technology.
• Innovative Location-based Services including: location-based advertisement, social network, geo-tagging, interactive digital signage, etc.
• Strategic Partnership with GASNKE Publishining MERIAN and PRINZ City Magazine
• Germany-wide roll-out as mobile Tourism Portal, including City of Berlin, Hamburg, Munich as customers.
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Products
and Solutions
Deep MapTM Platform
• IT solutions for tradeshows,
Conferences and Corporate
events.
• Strategic Partnership with
XING.EVENTS
• Business process optimization with
mobile solutions and LBS.
• Industry segments, e.g. Logistics,
Work-force management, CaFM,
SCM, Production
• Indoor Navigation as SDK for
native Apps
• Technology Partners • Wireless Infrastructure
• Positioning Technologies
• Digital Signage
Event Industry
Solutions
Enterprise Mobility
Solutions Deep MapTM SDK
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Event Industry Solutions
...powered by Deep MapTM
Exhibition App example
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Sponsors:
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Deep MapTM Platform
Deep MapTM Server • Location-based Services for complex spatial settings
• Seamless Indoor – Outdoor Navigation
• Content-aggregation and Geo-Referencing
• Open and lightweight service-oriented middleware
• Public or private cloud setups
• Industry-specific extensions
Deep MapTM Client Solutions • 3D Multi-Floor navigation
• Fastest map rendering on the market
• Indoor positioning support via Semantic Map Matching and 3rd Party Solutions
• Custom map layouts
• Offline Capable
• Software Development Kit
….bridging the Gap between GIS and CAD
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Spatial data integration
Catalog data
Sensor data
User data
Aggregation
Geo-Referencing
Re-Projection
Generalization
Visualization
Automated processing of floor plans and exhibitor information
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Challenges 4 Indoor LBS
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Robustness
Precision
Depth Energy Consumption
Actuality Time 2 Fix User experience
Precision Costs OS-Restrictions Displays sizes Costs
Availability Setup and Initialization Devices coverage Context Operation and
Maintenance
Spatial Data Positioning Coverage Usability Administration
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Positioning methods
• Wireless positioning approaches
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Spa
tial R
ea
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ing
Map M
atc
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g CoO
• Cell of Origin
CoO+ • Cell of Origin + Signal Strength
RSS • Fingerprinting via RSS
ToA • Triangulation/Trilateration (ToA, AoA)
Increasing Accouracy and Effort
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Positioning methods
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TYPE METHOD
GNSS GPS, GALILEO, GLONAS, etc.
3G Cell of Origin
LTE – Location protocol
WIFI
Cell of Origin
RSS Fingerprint
Triangulation (TOA, RSS)
Tags & Marker
BLE / iBeacon / Eddystone
RFID (active, passive), NFC
QR Tags
Image Marker
Other
Magnetic
Inertial Sensors (Gyroscope, Compass, Accelerometer)
Image Recognition
Ultra-Wideband
Light (Normal / Infrared)
Ultrasound
Network IP Ranges
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Positioning via Beacons
Some examples
• CeBIT 2014 / Germany – Sensorberg - Targeted Push
• IFA 2014 / Germany – Asandoo – Proximity Push.
• Autumun Fair 2014 / Spring Fair 2015 / UK – Kontakt.io / Indoo.rs - Indoor Routing
• Sapphire 2015 / USA – Gimbal – Indoor Routing © H
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Bluetooth Low Energy
Usage in dynamic spatial settings
Challenges and Pitfalls
• Deployment and timing
• Beacon setup, coverage and configuration
• Connectivity and responsiveness
• Push Messaging / Campaigns vs. Positioning
• User Experience
• Costs
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Positioning via WIFI
Examples, Case-Studies, Pilots
• Since 2010 – Fraunhofer IIS awloc Partner
• Dt. Messe AG / Germany – Since 2010 - SNMP – Cell-based Positioning based on CISCO Hardware
• Neue Messe Nürnberg / Germany – 2011 – SNMP Positioning on Enterasys Hardware
• Dt. Messe AG / Germany – 2015 – CISCO MSE and Extreme Networks
• IUI Events / UK – 2014 – WIFI Position with Indoo.rs
• LANCOM System – Location-based Service Partner
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Usage in dynamic spatial settings
Challenges and Pitfalls
• Client vs. Server-Side Approaches
• Device and OS Support
• Connectivity and wireless spectrum
• Accuracy and latency
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Conclusion
There is no silver bullet for indoor positioning at tradeshows
Ensemble of technologies according to
• venue properties
• use cases
Mix between
• Broad-range/broad coverage tech with medium precision
• High-precision / engagement zone
• Fall back approaches – e.g. via user interaction
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Social-Media Analysis @ CeBIT 15
Tweets mit Text http://cdb.io/1N83PuI Timelapse http://cdb.io/1N88Ymz
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Was ist Android Wear?
Thank You
Orientation in Urban Spaces powered by Deep MapTM
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Case Study:
Project Details
• Studio Area in Los Angeles covering 139 Buildings, 294 Floors and more than 21.500 Rooms
• Extended in 2014 to New York and Bristol
• Deep Maps in 3D incl. door to door routing incl. Turn by Turn instructions.
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Deep MapTM SDK
Features
• Seamless indoor and outdoor navigation
• Fastest map rendering engine on the market
• Offline mapping with a very small footprint on the devices
• Multi-Floor door to door routing – including turn-by-turn navigation
• Configurable map layout and design
• Configurable Interaction patterns and embedding
• iBeacon Support
• Available for iOS and Android
License according to
• Number of Platforms
• Functionality Level
• Usage duration
Service fee
• for spatial data curation and processing
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Precision
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Comparison of positioning methods
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TYPE METHOD PROS CONS
GNSS GPS, GALILEO, GLONAS, etc. Availability, Precision Time 2 Fix, $
3G Cell of Origin Simple Precision $
LTE – Location protocol Device Independent Connectivity, Carrier dependent $$
WIFI
Cell of Origin Device Independent Less robust, Precision $
RSS Fingerprint Precision OS restrictions, Calibration $$
Triangulation (TOA, RSS) Precision OS restriction, fragile $$$
Tags & Marker
BLE / iBeacon / Eddystone Device Support, Energy consumption Operation, Robustness $$
RFID (active, passive), NFC Precision User Interaction, Infrastructure, Device support, $$-$$$
QR Tags Robust, Flexible User Interaction, $
Image Marker Flexibel User Interaction, Error prone $
Other
Magnetic Precision, Autonomous Calibration, Robustness, Device support, $$
Inertial Sensors Autonomous Calibration, Precision, $
Image Recognition Autonomous User Interaction, Calibration, Device storage or connectivity $$
Ultra-Wideband High Precision Special hardware $$$
Light (Normal / Infrared) Precision User Interaction, Infrastructure necessary, Error prone $$
Ultrasound Precision User Interaction, Infrastructure necessary, Indoor $$$
Network IP Ranges Simple Robustness $