Autonomous Driving. AT VOLVO CARS Jonas Ekmark Manager Innovations, Volvo Car Group

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1 Autonomous Driving AT VOLVO CARS Jonas Ekmark Manager Innovations, Volvo Car Group

2 Global megatrends Continued urbanisation Growing number of megacities Air quality major health issue Traffic accidents huge global health problem Desire for constant connectivity Desire for individual mobility Transition to sustainable fuels/energy

3 MAIN BENEFITS WITH AUTONOMOUS DRIVING Safety Environment Traffic flow Lower and more efficient infrastructure investments Use of time

4 safety: Vision 2020 Our vision is to design cars that should not crash. In the shorter perspective the aim is that by 2020 no-one should be killed or seriously injured in a new Volvo car. In % of all crashes, human error is partly or fully responsible. Eliminating human error offers the largest potential in reaching the target. An automation system that does not require supervision can be made safer than one that relies on human supervision.

5 Environmental aspects Autonomous Driving has potential for: Reduced fuel consumption Lower emissions Optimised traffic flow

6 Freeing up time to safely prioritise something else

7 uncomplicates your life More of this (What consumers love) Fun to drive Personalisation Independence Take control of time Less of this (What consumers hate) The feeling of being stuck in traffic Monotony Anxiety Frustration Loss of control of time

8 Meet Our future customers Autonomous Driving will keep them constantly online also when they are old enough to drive

9 Our strategy Leadership within Autonomous Driving by pioneering offers in production

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11 the partners

12 From developing and maintaining infrastructure to developing the society of the future Swedish Transport Administration will: actively participate in the development of society plan, manage and develop a socio-economically effective and sustainable transport system plan for all modes of transport

13 Expected contribution from the Drive Me project Punctuality Increased punctuality through less traffic disturbances Capacity Robustness Usability Improved traffic flow, optimized usage and create more capacity within the existing road infrastructure Less traffic disturbances due to less accidents. Interaction between vehicles and infrastructure for improved traffic information in case of unforeseen events Providing tailor made possibilities for transportations for different categories of customers Safety Step towards crash free road transportation Environment and Health Smooth speed and optimized driving contributes to lower energy consumption, less emissions and less stressful driving

14 The pilot 100 Volvo cars to selected leasing customers between Autonomous Driving (driver not supervising the drive) at selected roads Approx. 50 km around Gothenburg Autonomous parking

15 Focus areas Societal and economical benefits: improving traffic efficiency, traffic environment and road safety Infrastructure aspects Suitable traffic situations Customer expectations on autonomous vehicles How surrounding road users interact with a self-driving car Legal aspects

16 TEST ROUTE Typical commuter routes in and around Gothenburg Several lanes Frequent queues

17 Autonomous parking

18 Autonomous parking Space-efficient Possibility to use less attractive areas Smooth & saves time Safe Cost-efficient for society

19 ROAD INFRASTRUCTURE

20 A unique pilot with real customers in real-life traffic

21 The technology Camera Radar Laser Map data Cloud connection Traffic Control Centre

22 AUTOMATION LEVELS Several attempts to classify automation levels: NHTSA, BASt, SAE, and proprietary definitions. Confusing. Drive Me profile Longer term All driving controls automated? Yes Yes Driver needs to supervise driving? No No Max speed 70 km/h Higher Driver needs to be present in vehicle? System can request driver to take control back? Auto driving anywhere? Yes (not for auto parking) Yes, otherwise car will stop safely No, only certified roads/spaces No No Yes 22

23 Challenges Regulations, liability, insurance. Market introduction strategy. Sensing system: Radar, lidar, vision, ultrasonic, sensor fusion Positioning, maps, maintenance of maps, traffic control, cloud Development tools and framework. Needs: Logging, visualization, rapid prototyping, simulation Dependability: from fail-silent to fail-operational Competence and resource build-up Verification and validation. Robustness and reliability. 23

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