Download - The Evolution of the Vehicle Cockpit
The evolution of the vehicle cockpitAutonomous Vehicle Interior Design & Technology Symposium
Oct. 25, 2016
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Today’s story
• How is Visteon evolving?
• How is the industry evolving?
• How is the cockpit evolving?
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“The self-driving car raises more possibilities and more questions than perhaps any other transportation
innovation under present discussion.”
-Federal Automated Vehicles Policy, NHTSASeptember 2016
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Visteon at a glance
Leading portfolio and expertise, global footprint, strong balance sheet
Manufacturing locations22
11,000 Employees
18 Countries
Technical centers18
$3.25B 2015 annual sales
Company headquartersVan Buren Township,
Michigan, United States
As of April 2016
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Our Vision:A global leader in automotive cockpit electronics delivering a rich,
connected cockpit experience for all cars from luxury to entry segment.
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Broadest cockpit electronics portfolio in the industry
Complete cockpit electronics portfolio positions Visteon well for continued growth
Instrumentclusters
Head-updisplays
Telematics Cockpit domain controllers
Informationdisplays
AudioInfotainment
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Today’s story
• How is Visteon evolving?
• How is the industry evolving?
• How is the cockpit evolving?
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Key trends impacting auto electronics
Three key trends expected to drive significant changes in the automotive industry
75% of new cars connected by 2020Embedded 3G/4G connectivityWider acceptance of CarPlay and
Android Auto solutionsDemand for connected infotainment
solutions
Near-Term Mid-Term Long-Term
100% of new cars connected4G/5G embedded connectivityVehicle as mobile application platform Increased number and quality of
displays Increased number of 3rd party apps
Seamless connectivity between car and Cloud
Integrated traffic and vehicle management solutions
Integration with autonomous driving technology
2015-2020 2020-2025 2025-2030
Sensor-specific solutions for ADASRADAR/camera technologiesEmerging low-cost LIDAR sensorsV2X technology maturation
Semi-autonomous driving on highways and clearly marked roads
Multi-sensor fusion and computing software platforms
5-10% of new cars capable of semi-autonomous driving
Full autonomous driving technology available
10-20% of new cars capable of autonomous driving
Emerging car sharing and ride sharing services
Car and ride sharing become prevalent
Sharing model starts to impact global vehicle sales
Shared vehicles start to replace owned vehicles
20% of vehicles use shared model
Connected Car
Autonomous Driving
Shared Mobility
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Phoenix Infotainment – designed with three goals in mind
App developer friendly Highly secure Fully upgradeable
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The evolution to autonomous driving
• Distributed ADAS ECUs• Classical use case programing• Lacking algorithm developer-friendly architecture• Hardware non-fault tolerant• Discrete non-scalable system
• Centralized domain controller• Neural network technology• Open software environment for algorithmic
development• Secure and fail-safe hardware• Scalable toward L3/L4 autonomous driving
One domain controllerDistribution on multiple ECUsToday Future
Actuators
ECUs
Sensors
Actuators
Visteon domain controller
Sensors
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An approach to autonomous driving
Collaborative approach to rapid algorithm development based on neural networks
Fail-safe centralizeddomain hardware
Open frameworkdesigned for algorithmic
developers
Neural networks
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Today’s story
• How is Visteon evolving?
• How is the industry evolving?
• How is the cockpit evolving?
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• While reconfigurable clusters are becoming a standard, designers are looking for ways to enhance the driver’s experience
• Growing interest for technologies increasing depth of the image – enabling 3-D effects – for a more immersive experience
Increased depth for driver information
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Multi-layer display• Delivers depth with use
of transparent display over traditional display
Prism display• Delivers depth with use of
two displays and a semi-reflective “blade” in between
Auto-stereoscopic display• Uses switchable parallax
barriers to generate 3-D effect• Requires eye-tracking
information for smoother experience
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What is augmented reality HUD?
Conventional HUDVisual assistance system to increase driving safety and
user experience
Transition from- below line of sight -
into - driver’s direct vision -
overlaying- reality and information -
Augmented Reality HUDFurther enhances driver’s
experience and generates faster reliable decisions out of ADAS-
system data in real time
Augmented reality HUD – basic features
Lane departure warning Adaptive cruise control Intuitive navigation
SENSEData acquisition
INFORMHMI generation
CamerasExternal and internal
Car sensorsSpeed/acceleration,
steering angle
NavigationGPS/positioning
Data fusion• Data processing• Data fusion• AR decision making • Dynamic coordinates
positioning• Prediction function
AR HUD Image generation
• Real-time drawing• Dynamic object
creation• Warping pre-correction HUD
domainADASdomain
ANALYZEData fusion
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Trends in display integration in instrument panel: wider displays
Extra-wide information display, shared between driver and passenger5
BMW Concept Interactive Vision (CES 2016)
PSA Citroen CXperience (Paris 2016)
Mercedes F015(IAA 2015)
Avoiding driver distraction
• Wider information display, or dedicated passenger display, allows for additional content (entertainment, services) for passenger
• To avoid driver distraction, a privacy mode feature is then required (static or switchable)
Multiplication of displays requires increased focus on driver distraction avoidance6
Normal mode Privacy mode
Trends in display integration in instrument panel: seamless
• Designers wish to seamlessly integrate displays in instrument panel
• Freeform shapes, no visible display active areas
• Will touch still be the most adapted solution for user interaction?
Seamless display integration and emerging occupant interface technologies7
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Operational innovation and Industry 4.0
Responding to industry’s future challenges
• The 4th industrial revolution – leveraging connectivity, big data and advanced autonomous automation to drive current and future operational efficiency
Robotization
Materials Management
Digitization Big Data Management