Satisfying Navigation-To-Thing and Context-Focused “Around Me” Use Cases

Paul Bouzide

Context and detail precedent: vehicle navigation use case

A familiar problem of appropriate context in vehicle navigation What should be suppressed?

What should be emphasized?

Some 3D solutions for vehicle navigation

• • • Note inclusion of non-motorway and non-ramp road elements in scene.

Note inclusion of terrain, bridge guards and support columns in scene.

Note removal of irrelevant signage from scene.

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Context driven detail: pedestrian-indoor-transit navigation

Ever more critical for these higher feature and geometry volumes Even at pedestrian velocities and cognitive attention profiles “Byte sized content right sized for each user’s individual context” What should be enhanced?

What should be suppressed?

Where in the service chain?

• • In what situations?

For which kinds of users?

Key context information: Location/heading Navigation Intent

But maximum LOD depends on the device and the network

Fully apart from the question of detail enhancement or suppression… “Byte sized content”… End user context also includes • Device capabilities • Network performance and cost 5

Geospatial features and properties aren’t static

Everything changes… Walls and fixtures Color schemes/decor Local addressing schemes Signage Space occupancy … Any change can matter crucially to the contextual behavior of the app to maintaining believability, realism 6 Most changed features or properties exist in relation to others can depend on prior changes for consistency • • • Approaches: Partition replacement Feature property updates Geo/topo update transactions

Low change latency & contextual detail app service chain

Vector feature model creation from observations Model transformation for contextual assembly, styling, rendering Geospatial Content Creator Geospatial Content Creator Geospatial Content Transformation/ Aggregation Geospatial Content Creator … Geospatial Content Creator Usage analytics, user observations, Differentiated & componentized new/updated vector feature sets Content Delivery Network Data APIs Pub/Sub Context-aware customization, filtering, styling and rendering Mobile Device Applicatio n (Server) Processed context, feature & scene Context categorized located scenes & features Mobile Network App APIs Streaming requests/subscriptions Context-aware service integration, interactive visualization, selection Mobile Device Applicatio n n (Client) Location, camera other user & device context …“Right sized” contextualized scenes, styled vector features

What locations have a content creation business case?

Build out locations that have High foot traffic density 8 Time-criticality of an effective navigation Ux Generators of economic activity Some good candidates Multimodal transit hubs Airports, rail/transit stations, … Retail clusters “Big box” + satellites, malls, urban retail zones Tourism, mass entertainment, mass business Museums, stadiums, theaters Businesses and Academia Convention centers, office complexes, university campuses, … Emergency related Hospitals, Zones of security monitoring/enforcement • • Varying LODs across geographies: How does this affect navigability?

What are the key differences between these location types

What contributes to this content creation business case?

Partnering with existing mobile device/application ecosystems Application geospatial “fuel” Federate collection and maintenance with pluggable aggregation Building complex developers/management Governments, transit authorities Building architects/contractors Adjuncts to road vehicle navigation (“integrated walk, ride, drive”) Leverage and integrate with vehicle-bound applications and content Also taxi, bus, logistics fleets Integrate usage analytics for lower content maintenance cost Alternatives to supply-based advertising for end user “desire fulfillment” And of course location+context based advertising doesn’t go away… 9

Technology Enablers: APIs and interoperable standards

• • • • • Relevant standards: WMS, WFS, GML, KML Eventing WPS W3DS, WVS, X3D SVG, PNG, JPG, JPG2K 10

Other key technology enablers

Indoor micro-positioning Low tens of cm Radio (WiFi, Bluetooth, RFID, NFC) Image recognition IoT “massive triangulation” Pluggable Spaces Recursively subdivided spaces Homogeneity of LOD within a spaces Stable location identity at integration points Change-based feature publication Low latency observation to end user Pub/sub SDI eventing Parallel processing architectures • • • Critical needs: Effective indoor positioning Interoperable micro location referencing Interoperable pluggable space topologies Observation processing, data transformation, styling/rendering 11