SlideShare ist ein Scribd-Unternehmen logo
1 von 13
A Community Platform for
Auto-Annotated Recreational Maps
   Till Riedel1, Phillip Scholl1, Christian Decker1 and Michael Beigl2



            1TecO,Universität Karlsruhe(TH), Vincenz Prießnitz Str. 3
                           76131 Karlsruhe, Germany
                      <{riedel,scholl,cdecker}@teco.edu>
               2IBR,UniversitätBraunschweig, Mühlenpfordstr. 23
                            Braunschweig , Germany
                               <beigl@teco.edu>
Motivation
       Recreational maps
       Outdating
       Specialized




    City map Karlsruhe:                                    Skate map Karlsruhe:

    still using Version from 1990                          Specialized Annotation
    (or Google maps :-) )                                  Should have newest version !
2                     A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Recreational Maps

       Specialized for sport, degree of expertise
       more detailed annotation = better map
       road size doesn't matter
       Road quality reflected in coloring/style

       Not many print runs depending on sport
       Out-dating rapidly:
          Nature
          Minor road work
3                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Alternative:
             Track sharing communities




       Large Community
       Sharing single tracks
       Simple or text based
        annotation
       Subjective/Biased

4                    A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Problem

       Track fusion dependent on sports device
       Differentiated annotation makes system complex
       Users tend not to waste their time on intricate stuff
       We need many users to build complete maps

    Dilemma:

                      many users vs complex system

                complete maps vs differentiated annotation

5                     A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Community Platform for
    Auto-Annotated Recreational Maps
       Minimal effort
          Automate process as much as possible


       Minimal cost
          Use available technology


       Minimal risk
          Anonymization: don't share raw personal data


6                  A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
(kind of) Wireless Sensor Networks

       Sensor Nodes = Sportsmen w/:
          Sensor Watches/Sensors on Equipment
          Handheld GPS Systems

       Mobile sparsely synchronized sensors
          high coverage
          high availabiliy
          only back-end communication



7                    A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Track Classification

       Classifier for Road Quality
       Use input from sensors:
          Acceleration
          Vibration
          GPS (speed, slope)

       Simple rule based system:
          e.g.: low(vibration(R)) => good(R)
          Preset rule sets for different devices/preferences
          Adjustable by user

8                      A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Map Creation

       Create network of roads
       Which tracks belong to same road?
           Routes not equal in strict sense
       Algorithm described in: Scott Morris, Alan Morris, Kobus
        Barnard, Digital Trail Libraries, jcdl, pp. 63-71, Digital Libraries,
        2004 ACM/IEEE Joint Conference on (JCDL'04), 2004.




9                       A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Aggregation and Personalization

        Collect all predicates on all sub-tracks
           Use road intersections to uniquely identify parts
           Use common sensor predicates
        Query locally restricted
        Aggregate all data (bias towards recent data)
        Reclassify using users preference
        Color map by new classification



10                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Hardware

          Cheap sensors:
                  Measure vibration
                  Low power
                  Affordable for early adopters


          Loose coupling with location system:
                  Standard handheld GPS
                  Use existing technology
                  Only use timestamps to synchronize
11   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Future Work

        From Concept to Implementation :)
        Studies for different outdoor sports
           Cycling
           Inline skating
           Hiking
        Use this kind of WSNs in other apps
           highly mobile and sparsely synchronized
           low power and high coverage


12                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Conclusion

        Concept for enhancing maps with sensor
         information
           rather than just displaying values
        Use Communities and enable personalization
        Design aspects for mass adaptation
           also critical to other sensor web apps
        Widen the understanding of wireless sensor
         networks
           sensors don't have to be connected all the time

13                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)

Weitere ähnliche Inhalte

Ähnlich wie A Community Platform for Auto-Annotated Recreational Maps

A wearable MIDI interface using a wireless sensor network
A wearable MIDI interface using a wireless sensor networkA wearable MIDI interface using a wireless sensor network
A wearable MIDI interface using a wireless sensor networkFrancesco Corucci
 
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...Nicolas Lachance-Bernard
 
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...Beniamino Murgante
 
The GIS for Emergency and Security of Catalonia
The GIS for Emergency and Security of CataloniaThe GIS for Emergency and Security of Catalonia
The GIS for Emergency and Security of CataloniaEsri
 
Adaptive Learning through Visual Sensor
Adaptive Learning through Visual SensorAdaptive Learning through Visual Sensor
Adaptive Learning through Visual SensorSyed Muhammad Bilal
 
Building a Standards Based Collaborative GIS
Building a Standards Based Collaborative GISBuilding a Standards Based Collaborative GIS
Building a Standards Based Collaborative GISIan Turton
 
51679421-Wireless-Sensor-Networks-PPT.pptx
51679421-Wireless-Sensor-Networks-PPT.pptx51679421-Wireless-Sensor-Networks-PPT.pptx
51679421-Wireless-Sensor-Networks-PPT.pptxGeetha982072
 
Wireless multimedia sensor networking
Wireless multimedia sensor networkingWireless multimedia sensor networking
Wireless multimedia sensor networkingKedar Kumar
 
Ar2419141919
Ar2419141919Ar2419141919
Ar2419141919IJMER
 
IJCER (www.ijceronline.com) International Journal of computational Engineeri...
 IJCER (www.ijceronline.com) International Journal of computational Engineeri... IJCER (www.ijceronline.com) International Journal of computational Engineeri...
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
 
Senior Design Presentation 2014
Senior Design Presentation 2014Senior Design Presentation 2014
Senior Design Presentation 2014Paulo Borges
 
Vgdra a virtual grid based dynamic routes
Vgdra a virtual grid based dynamic routesVgdra a virtual grid based dynamic routes
Vgdra a virtual grid based dynamic routesjpstudcorner
 

Ähnlich wie A Community Platform for Auto-Annotated Recreational Maps (20)

A wearable MIDI interface using a wireless sensor network
A wearable MIDI interface using a wireless sensor networkA wearable MIDI interface using a wireless sensor network
A wearable MIDI interface using a wireless sensor network
 
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
 
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
Network Based Kernel Density Estimation for Cycling Facilities Optimal Locati...
 
The GIS for Emergency and Security of Catalonia
The GIS for Emergency and Security of CataloniaThe GIS for Emergency and Security of Catalonia
The GIS for Emergency and Security of Catalonia
 
Adaptive Learning through Visual Sensor
Adaptive Learning through Visual SensorAdaptive Learning through Visual Sensor
Adaptive Learning through Visual Sensor
 
Transmission efficient ppt
Transmission efficient pptTransmission efficient ppt
Transmission efficient ppt
 
Remote Sensing ppt
Remote Sensing pptRemote Sensing ppt
Remote Sensing ppt
 
Building a Standards Based Collaborative GIS
Building a Standards Based Collaborative GISBuilding a Standards Based Collaborative GIS
Building a Standards Based Collaborative GIS
 
51679421-Wireless-Sensor-Networks-PPT.pptx
51679421-Wireless-Sensor-Networks-PPT.pptx51679421-Wireless-Sensor-Networks-PPT.pptx
51679421-Wireless-Sensor-Networks-PPT.pptx
 
Wireless multimedia sensor networking
Wireless multimedia sensor networkingWireless multimedia sensor networking
Wireless multimedia sensor networking
 
Sen spire os
Sen spire osSen spire os
Sen spire os
 
Mobile mapping system
Mobile mapping systemMobile mapping system
Mobile mapping system
 
Ar2419141919
Ar2419141919Ar2419141919
Ar2419141919
 
Context In UX
Context In UXContext In UX
Context In UX
 
IJCER (www.ijceronline.com) International Journal of computational Engineeri...
 IJCER (www.ijceronline.com) International Journal of computational Engineeri... IJCER (www.ijceronline.com) International Journal of computational Engineeri...
IJCER (www.ijceronline.com) International Journal of computational Engineeri...
 
Senior Design Presentation 2014
Senior Design Presentation 2014Senior Design Presentation 2014
Senior Design Presentation 2014
 
A Survey on Routing Protocols in Wireless Sensor Networks
A Survey on Routing Protocols in Wireless Sensor NetworksA Survey on Routing Protocols in Wireless Sensor Networks
A Survey on Routing Protocols in Wireless Sensor Networks
 
Vgdra a virtual grid based dynamic routes
Vgdra a virtual grid based dynamic routesVgdra a virtual grid based dynamic routes
Vgdra a virtual grid based dynamic routes
 
Manet algo
Manet algoManet algo
Manet algo
 
GPS
GPS GPS
GPS
 

Mehr von Till Riedel

From Load Forecasting to Demand Response - A Web of Things Use Case
From Load Forecasting to Demand Response  - A Web of Things Use CaseFrom Load Forecasting to Demand Response  - A Web of Things Use Case
From Load Forecasting to Demand Response - A Web of Things Use CaseTill Riedel
 
IoT 2014 Value Creation Workshop: SDIL
IoT 2014 Value Creation Workshop: SDILIoT 2014 Value Creation Workshop: SDIL
IoT 2014 Value Creation Workshop: SDILTill Riedel
 
Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...
Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...
Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...Till Riedel
 
Relate: Architecture, Systems and Tools for Relative Positioning
Relate: Architecture, Systems and Tools for Relative PositioningRelate: Architecture, Systems and Tools for Relative Positioning
Relate: Architecture, Systems and Tools for Relative PositioningTill Riedel
 
Pluggable Realworld Interfaces
Pluggable Realworld InterfacesPluggable Realworld Interfaces
Pluggable Realworld InterfacesTill Riedel
 
Ubiquitous Resources Abstraction using a File System Interface on Sensor Nodes
Ubiquitous Resources Abstraction using a File System Interface on Sensor NodesUbiquitous Resources Abstraction using a File System Interface on Sensor Nodes
Ubiquitous Resources Abstraction using a File System Interface on Sensor NodesTill Riedel
 
Implicit Middleware
Implicit MiddlewareImplicit Middleware
Implicit MiddlewareTill Riedel
 
Barcodes, RFID or Smart Items? Evaluating track and trace technology today a...
Barcodes, RFID or Smart Items? Evaluating track and trace technology  today a...Barcodes, RFID or Smart Items? Evaluating track and trace technology  today a...
Barcodes, RFID or Smart Items? Evaluating track and trace technology today a...Till Riedel
 
uBox A Distributed Resource Management Architecture for the Web-of-Things
uBox A Distributed Resource Management Architecture for the Web-of-ThingsuBox A Distributed Resource Management Architecture for the Web-of-Things
uBox A Distributed Resource Management Architecture for the Web-of-ThingsTill Riedel
 
Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...
Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...
Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...Till Riedel
 

Mehr von Till Riedel (11)

From Load Forecasting to Demand Response - A Web of Things Use Case
From Load Forecasting to Demand Response  - A Web of Things Use CaseFrom Load Forecasting to Demand Response  - A Web of Things Use Case
From Load Forecasting to Demand Response - A Web of Things Use Case
 
IoT 2014 Value Creation Workshop: SDIL
IoT 2014 Value Creation Workshop: SDILIoT 2014 Value Creation Workshop: SDIL
IoT 2014 Value Creation Workshop: SDIL
 
Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...
Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...
Thesis presentation: Middleware for Ubicomp - A Model Driven Development Appr...
 
Relate: Architecture, Systems and Tools for Relative Positioning
Relate: Architecture, Systems and Tools for Relative PositioningRelate: Architecture, Systems and Tools for Relative Positioning
Relate: Architecture, Systems and Tools for Relative Positioning
 
Pluggable Realworld Interfaces
Pluggable Realworld InterfacesPluggable Realworld Interfaces
Pluggable Realworld Interfaces
 
Ubiquitous Resources Abstraction using a File System Interface on Sensor Nodes
Ubiquitous Resources Abstraction using a File System Interface on Sensor NodesUbiquitous Resources Abstraction using a File System Interface on Sensor Nodes
Ubiquitous Resources Abstraction using a File System Interface on Sensor Nodes
 
Implicit Middleware
Implicit MiddlewareImplicit Middleware
Implicit Middleware
 
Syncob
SyncobSyncob
Syncob
 
Barcodes, RFID or Smart Items? Evaluating track and trace technology today a...
Barcodes, RFID or Smart Items? Evaluating track and trace technology  today a...Barcodes, RFID or Smart Items? Evaluating track and trace technology  today a...
Barcodes, RFID or Smart Items? Evaluating track and trace technology today a...
 
uBox A Distributed Resource Management Architecture for the Web-of-Things
uBox A Distributed Resource Management Architecture for the Web-of-ThingsuBox A Distributed Resource Management Architecture for the Web-of-Things
uBox A Distributed Resource Management Architecture for the Web-of-Things
 
Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...
Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...
Using Web Service Gateways and Code Generation for Sustainable IoT System Dev...
 

Kürzlich hochgeladen

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfOverkill Security
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 

Kürzlich hochgeladen (20)

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 

A Community Platform for Auto-Annotated Recreational Maps

  • 1. A Community Platform for Auto-Annotated Recreational Maps Till Riedel1, Phillip Scholl1, Christian Decker1 and Michael Beigl2 1TecO,Universität Karlsruhe(TH), Vincenz Prießnitz Str. 3 76131 Karlsruhe, Germany <{riedel,scholl,cdecker}@teco.edu> 2IBR,UniversitätBraunschweig, Mühlenpfordstr. 23 Braunschweig , Germany <beigl@teco.edu>
  • 2. Motivation  Recreational maps  Outdating  Specialized City map Karlsruhe: Skate map Karlsruhe: still using Version from 1990 Specialized Annotation (or Google maps :-) ) Should have newest version ! 2 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 3. Recreational Maps  Specialized for sport, degree of expertise  more detailed annotation = better map  road size doesn't matter  Road quality reflected in coloring/style  Not many print runs depending on sport  Out-dating rapidly: Nature Minor road work 3 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 4. Alternative: Track sharing communities  Large Community  Sharing single tracks  Simple or text based annotation  Subjective/Biased 4 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 5. Problem  Track fusion dependent on sports device  Differentiated annotation makes system complex  Users tend not to waste their time on intricate stuff  We need many users to build complete maps Dilemma: many users vs complex system complete maps vs differentiated annotation 5 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 6. Community Platform for Auto-Annotated Recreational Maps  Minimal effort Automate process as much as possible  Minimal cost Use available technology  Minimal risk Anonymization: don't share raw personal data 6 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 7. (kind of) Wireless Sensor Networks  Sensor Nodes = Sportsmen w/: Sensor Watches/Sensors on Equipment Handheld GPS Systems  Mobile sparsely synchronized sensors high coverage high availabiliy only back-end communication 7 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 8. Track Classification  Classifier for Road Quality  Use input from sensors: Acceleration Vibration GPS (speed, slope)  Simple rule based system: e.g.: low(vibration(R)) => good(R) Preset rule sets for different devices/preferences Adjustable by user 8 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 9. Map Creation  Create network of roads  Which tracks belong to same road? Routes not equal in strict sense  Algorithm described in: Scott Morris, Alan Morris, Kobus Barnard, Digital Trail Libraries, jcdl, pp. 63-71, Digital Libraries, 2004 ACM/IEEE Joint Conference on (JCDL'04), 2004. 9 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 10. Aggregation and Personalization  Collect all predicates on all sub-tracks Use road intersections to uniquely identify parts Use common sensor predicates  Query locally restricted  Aggregate all data (bias towards recent data)  Reclassify using users preference  Color map by new classification 10 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 11. Hardware  Cheap sensors: Measure vibration Low power Affordable for early adopters  Loose coupling with location system: Standard handheld GPS Use existing technology Only use timestamps to synchronize 11 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 12. Future Work  From Concept to Implementation :)  Studies for different outdoor sports Cycling Inline skating Hiking  Use this kind of WSNs in other apps highly mobile and sparsely synchronized low power and high coverage 12 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 13. Conclusion  Concept for enhancing maps with sensor information rather than just displaying values  Use Communities and enable personalization  Design aspects for mass adaptation also critical to other sensor web apps  Widen the understanding of wireless sensor networks sensors don't have to be connected all the time 13 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)