1. Webinar
Validation of “next-gen In-Vehicle Displays“
Cost, Complexity and Coverage
Presenter - Amit Limaye
1/14/2014

2. Agenda
 Look at In-vehicle display progression
 Implications on validation strategy – Manage Cost, Coverage & Complexity
 Consideration for Choice of Test Systems
 K-Vision Overview
 Wrap-up and Q&A
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3. In-Vehicle Display Timeline
GEN 2
Complexity
GEN 1




GEN 4
GEN 1 +
Telltales
Fuel
Illumination
GEN 3
 Speed
 Engine RPM







Time
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GEN 2 +
PRNDL
Advanced vehicle info
Configurations
Warnings
Minimal Customization
Infotainment auxiliary
display







GEN 3 +
Fully configurable
Theme based
Context based information
3D
Advanced vehicle dynamic
information
Advanced ADAS warnings
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4. From where the complexity is coming ?
Explosion of vehicle features
Driver Assist
Features
Vehicle
Diagnostics
Telematics /
Navigation
Increasing Personalization Requirements
In-vehicle display
as “smart phone
extension”
Personalized
HMI
Always
Connected
Design DNA augmented by Display
Reconfigurable
Clusters
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Device
Consolidation
Seamless
Integration

5. In a Nutshell…
Reconfigurable
2D/3D HMI
Software : a key
differentiator
Cockpit as Vehicle
Differentiator
Multi touch Gesture
recognition
Explosion of features &
their integrations
Multiple Languages
Smartphone
Integration
Availability of superior
platform
Networking /
Diagnostics
ADAS/Infotainment
Integrations
New Innovations in vehicle sub-systems directly reflects on cluster display
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6. Increasing Functionality… Causing Complexity…
Increase of Functionality
Multiple Languages
2013
2010
2005
2000
1990
1980
Model Variants
Fluid Requirements
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7. Typical next-gen “In-Vehicle Display” content…
+
150+ Features
+
1000+ screens
=
20+ Languages
200,000+ Test Scenarios
Too Many Screens | Multiple screen combinations | Increased test iterations | Multilingual Testing |
Integration phase issues | Regression
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8. Multiplying Effect of Complexity and Coverage…
Infotainment
[D1]
Instrument
Clusters [D2]
Secondary
Displays [D3]
HUD [D4]
Features [R1]
Different Languages [R2]
Validation strategy for >>
Development, Component, Integration, Vehicle level
Variants [R3]
Regression [R4]
Real Time Context [R5]
Test Scenarios for D1 = R5 * [ R3 * (R4 * (R2 * (R1) ) )]
Total Scenarios = D1 + D2 + D3 + D4
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9. Where are we headed ?
Complexity
Steady ?
Are the current Test Systems
and processes equipped to
handle the implications?
Time
9
Our view:
Vehicle Complexity will
continue to grow.
In turn it will drive Display
complexities
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2025

10. Key Considerations for Validation Strategy
Validation Strategy
Manual Testing (Minimal Indirect)
Manual Direct Testing (Subsystem)
Semi Automated Bench (Open Loop)
Quality of
Testing
Cost
Regression
Environment
Availability
X
X
Fully Automated (Closed Lop)
How to define optimum Validation Strategy ?
Test Iterations – How much is too much?
Choice of Systems - Would we need test iterations on a high cost fully closed loop Test setup or a semiautomated open loop system or both?
Regression - How to safeguard against fluid specifications?
Would a test system that is configurable to suit your test iteration needs yet
frugal enough to virtually be deployed at each developer bench work for you?
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11. K-Vision,
Solution to automate in-vehicle display validation
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12. Introducing K-Vision
Display Under Test
(This can be any in-vehicle or industrial display)
Camera
Fully Integrated
Configurable to cover various test needs
Scalable to cover various display types
Provides a closed loop regression environments
Host
Frugality through Reuse of existing
software assets/tools
K-Vision increases test coverage, efficiency and reduces total cost of ownership
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13. K-Vision Solution Overview
Language Testing (OCR) | Pattern matching | Telltale testing | Gauges testing
CAN Interface
K-Vision
Framework
Test Report
Test Cases
Requirement Document
Image Processing
GigE Interface
Application Areas



Instrument Clusters
Infotainment
Head up displays
Business benefits



Very low cost of ownership
Easy installation and operation
High productivity
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14. Summary
 Complexities in a vehicle result in multifold
complexities in displays.
Cost
 These Complexities have implications on
Validation Strategy to achieve a balance of Cost,
Coverage and Quality
 K-Vision provides a optimum framework for
Validation Managers to achieve the balance.
Complexity
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Coverage

15. Thank You
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