TomTom HAD story How TomTom enables Highly Automated Driving Automotive World Webinar 12 March 2015 Jan-Maarten de Vries VP Product Marketing TomTom Automotive
Automated driving is real and it is big Image: Audi Image: Mercedes Image: Google Image: BMW 2
The idea itself is not new 1953 Present Image: General Motors Image: Rinspeed source: 3
A paradigm shift From powered by horse to horsepower From driver to being driven Image: Volvo 4
The promises of automated driving Car safety will increase Cars will become more fuel efficient and consequently more eco-friendly Image: Volvo Drivers will have more freedom and new car comfort features will greatly improve the user experience 5
The societal impact of automated driving will be big Traffic Parking Urban Planning Car Design Car Ownership Transportation on Demand Access for All Business Models 6
Opposing views on automated driving Automotive Industry vs. Google Car w/ computer vs Computer on wheels Freedom of driver vs Freedom of non-driver Gradual vs End game Evolution vs Revolution Level of automation Tied to the brand vs Changing the world time 7
Automated driving comes with new challenges and dilemmas Are computers really better drivers? We can save time but where is the joy? Who is liable? How about data protection? Not if, but how and when! 8
Building blocks of automated driving HAD Map Connected Services Navigation Software Artificial intelligence/ Robotics V2I communication High Performance CPUs and Networks Sensors V2V communication 9
How TomTom enables highly automated driving Car Positioning enabled by Real-Time Maps Road Conditions & Obstacles enabled by Connected Services Environment Analysis enabled by Software Components Comfortable Driving enabled by Driver Behavior Data 10
Building next generation navigation maps TomTom uses new technologies to offer the freshest and most accurate map data available Intelligent deployment of a fleet of Mobile Mapping Vans equipped with high end mapping sensors and the application of novel, patented (semi-) automatic data processing tools 11
Border to Border representation of the road Highly Detailed 3D Lane Geometry markings centerlines road boundaries Highly Accurate Sub meter absolute Decimeter level relative Richly Attributed Lane level attributes speed restrictions divider markings Position Landmarks 12
Robust & scalable positioning content Robust Tollerance towards changes in reality or map version Scalable Low storage Low processing Highly accurate <0.5 m longitudinal & <0.15m lateral accuracy 13
How we master the data loops NDS Incremental Updates Onboard Map xfcd Change detection and observations User Reports Continuously Releasable Map Database Dynamic Services Traffic Weather... Clustering & Data Fusion Transactional Mapmaking Engine Hybrid Mapmaking 14
ADAS as a step-by-step solution to HAD Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 Human driver monitors the driving environment with support from assistance systems Automated driving system monitors the driving environment and executes different driving tasks 15
The road ahead: No automation Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 Examples include: Electronic stability control Anti-lock braking system Driver executes all aspects of the driving task Even when enhanced by warning or intervention systems Electronic Stability Control 16
The road ahead: Driver Assistance Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 Examples include: Adaptive Cruise Control Park Assist Lane Keep Assist Specific task executed by driver assistance system Steering or acceleration/deceleration Advanced Adaptive Cruise Control + + = 17
Use case: How TomTom takes Adaptive Cruise Control to the next level Horizon Current position Legal Speed: 100km/h Curvature: 200 M 25⁰ Curve Speed adjusted to 65km/h 500 M 5 KM 100 18 Legal Speed change: 120km/h Traffic jam Heavy snow
The road ahead: Partial Automation Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 Examples include: Traffic Jam Assist Park Assistance Task execution by one or more driver assistance systems Both steering and acceleration/deceleration The driver is in full control Advanced Traffic Jam Assist 19
The road ahead: Conditional automation Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 Examples include: Traffic Jam Chauffeur Highway Chauffeur Driving mode performance by automated driving system All aspects of the dynamic driving task The driver will assume control when requested Traffic Jam Chauffeur Low Cruise Speed 20
Use case: How TomTom enables Traffic Jam Chauffer Horizon Current position Legal Speed: 100km/h Traffic: Now Left and Right lane highly congested 200 M 250 M 10 21 Accident: Car stopped in left lane Traffic: End of traffic Jam
The road ahead: High Automation Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 High Automation Examples include: Highway Pilot Auto Pilot Driving mode performance by an automated driving system All aspects of the dynamic driving task under certain conditions Even if a human driver does not respond when asked to intervene Highway Pilot Without cruise speed limitation 1 st on Highways 22
Use case: How TomTom enables Highway Pilot Horizon Current position Legal/Cruise Speed: 100/95km/h Traffic: Now Left and Middle Lane highly congested 100 M 150 M 95 23 Accident: Car stopped in left lane Traffic: End of traffic Jam
The road ahead: Full Automation Level 0 Level 1 Level 2 Level 3 Level 4 Level 5 Full Automation Fully automated personal vehicles and trucks Full time driving execution by automated driving system Under all roadway and environmental conditions Fully automated driving Available to all road classes: Highways, City, etc. 24
Our core HAD assets and features Real-Time Maps 3D Lane Model Static Data Loop Behavioral Data Software Components Navigation Positioning ehorizon Connected Services Advanced Traffic Advanced Weather Dynamic Data Loop 25
Our commitment to innovation First navigation software launched Acquisition of Digital Maps company Tele Atlas Announces strategic partnerships on ADAS and HAD Fully Automated 1996 2006 2008 2014 2014 Acquisition of HD Traffic technology Launches Real- Time Maps Highly Automated 26
Building the future of automotive together with our partners https://www.youtube.com/watch?v=m7gixqzzqqc https://www.youtube.com/watch?v=niigmji0bfk 27
'Five years from now we'll be active in areas we haven't yet dreamed of' Harold Goddijn, CEO TomTom 28
Thank you Any questions?