VEHICLE AUTOMATION. CHALLENGES AND POTENTIAL FOR FUTURE MOBILITY.

Similar documents
BMW GROUP TECHNOLOGY WORKSHOPS AUTOMATED DRIVING-DIGITALIZATION MOBILITY SERVICES. December 2016

WHITE PAPER Autonomous Driving A Bird s Eye View

AUTOMATED DRIVING IN EUROPE

ACTIVE SAFETY 3.0. Prof. Kompaß, VP Fahrzeugsicherheit, 14. April 2016

Automated Commercial Motor Vehicles: Potential Driver and Vehicle Safety Impacts

Assisted and Automated Driving DEFINITION AND ASSESSMENT: SUMMARY DOCUMENT

AND CHANGES IN URBAN MOBILITY PATTERNS

Új technológiák a közlekedésbiztonság jövőjéért

Automated Driving Are we taking the Human Factors Researcher out of the Loop? Sanna Pampel

State of the art in autonomous driving. German Aerospace Center DLR Institute of transportation systems

Intelligent Vehicle Systems

EPSRC-JLR Workshop 9th December 2014 TOWARDS AUTONOMY SMART AND CONNECTED CONTROL

Highly Automated Driving: Fiction or Future?

RESEARCH FUNDING KEY TO AUTONOMOUS DRIVING

The intelligent Truck safe, autonomous, connected. N. Mustafa Üstertuna Mercedes-Benz Türk A.Ş.

Safety Considerations of Autonomous Vehicles. Darren Divall Head of International Road Safety TRL

About Automated Driving Functions

Aria Etemad Volkswagen Group Research. Key Results. Aachen 28 June 2017

Intelligent Drive next LEVEL

THE WAY TO HIGHLY AUTOMATED DRIVING.

Can STPA contribute to identify hazards of different natures and improve safety of automated vehicles?

Safe, superior and comfortable driving - Market needs and solutions

An Introduction to Automated Vehicles

ZF Advances Key Technologies for Automated Driving

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

A factsheet on the safety technology in Volvo s 90 Series cars

AdaptIVe: Automated driving applications and technologies for intelligent vehicles

Autonomous Driving by Audi. Dr. Miklós Kiss

Driver Assistance & Autonomous Driving

H2020 (ART ) CARTRE SCOUT

A factsheet on Volvo Cars safety technology in the new Volvo S90

Model Legislation for Autonomous Vehicles (2018)

Citi's 2016 Car of the Future Symposium

18th ICTCT Workshop, Helsinki, October Technical feasibility of safety related driving assistance systems

Cooperative Autonomous Driving and Interaction with Vulnerable Road Users

Active Safety Systems in Cars -Many semi-automated safety features are available today in new cars. -Building blocks for automated cars in the future.

CASCAD. (Causal Analysis using STAMP for Connected and Automated Driving) Stephanie Alvarez, Yves Page & Franck Guarnieri

Challenges To The Future of Mobility

D.J.Kulkarni, Deputy Director, ARAI

The Future of Transit and Autonomous Vehicle Technology. APTA Emerging Leaders Program May 2018

Autonomous Automated and Connected Vehicles

AKTIV experiencing the future together. Dr. Ulrich Kreßel Daimler AG, Research Center Ulm Walter Schwertberger MAN Nutzfahrzeuge, München

National Road Safety Action Plan in China

Overview of Regulations for Autonomous Vehicles

Ensuring the safety of automated vehicles

Written Testimony of Josh Fisher Manager, State Government Affairs, Association of Global Automakers, before the Ohio House Transportation and Public

Brain on Board: From safety features to driverless cars

Automated Driving: The Technology and Implications for Insurance Brake Webinar 6 th December 2016

Deep Learning Will Make Truly Self-Driving Cars a Reality

EMERGING TRENDS IN AUTOMOTIVE ACTIVE-SAFETY APPLICATIONS

Defensive Driving. Monthly Training Topic NV Transport Inc. Safety & Loss Prevention

Automated Vehicles: Terminology and Taxonomy

Systems-Theoretic Process Analysis: AUTOMOBILE FEATURES FOR LANE MANAGEMENT

CONNECTED AUTOMATION HOW ABOUT SAFETY?

AUTOMATED TRUCK PLATOONS ON MOTORWAYS A CONTRIBUTION TO THE SAFETY ON ROADS

Le développement technique des véhicules autonomes

Cars that can think and act for greater road safety Samantha Cockfield Road Safety TAC

C A. Right on track to enhanced driving safety. CAPS - Combined Active & Passive Safety. Robert Bosch GmbH CC/PJ-CAPS: Jochen Pfäffle

Safe System Approach. Claes Tingvall (Swedish Transport Administration) Peter Larsson (Swedish Transport Agency)

RUF Self Driving Cars

China Intelligent Connected Vehicle Technology Roadmap 1

Safety Assurance for Highly Automated Driving The PEGASUS Approach

Research Challenges for Automated Vehicles

Vehicle: Risks and Measures. Co-funded by the Horizon 2020 Framework Programme of the European Union

Mac McCall VTTI Motorcycle Research Group September 28, 2017

Audi piloted driving. Audi piloted driving. Daniel Lipinski, Electronic Research Lab, Volkswagen Group of America

Pedalling into a driverless world: opportunities and threats

Enhancing Safety Through Automation

COLLISION AVOIDANCE SYSTEM

PSA Peugeot Citroën Driving Automation and Connectivity

Automobile Body, Chassis, Occupant and Pedestrian Safety, and Structures Track

Automated Driving - Object Perception at 120 KPH Chris Mansley

IN SPRINTS TOWARDS AUTONOMOUS DRIVING. BMW GROUP TECHNOLOGY WORKSHOPS. December 2017

SWOV. Safety of trials with self-driving vehicles on public roads. Saskia de Craen Researcher, SWOV

Respecting the Rules Better Road Safety Enforcement in the European Union. ACEA s Response

Deployment status and users willingness to pay results on selected invehicle

Development of California Regulations for Testing and Operation of Automated Driving Systems

Bitte decken Sie die schraffierte Fläche mit einem Bild ab. Please cover the shaded area with a picture. (24,4 x 7,6 cm)

Self-Driving Cars: The Next Revolution. Los Angeles Auto Show. November 28, Gary Silberg National Automotive Sector Leader KPMG LLP

2017 MDTSEA Manual - How it Corresponds to the ADTSEA 3.0 Curriculum for Segment 1 and 2 Classroom Education

Planning for Autonomous Vehicles. Stephen Buckley WSP Parsons Brinckerhoff KINETIC October 6, 2016

LiDAR Teach-In OSRAM Licht AG June 20, 2018 Munich Light is OSRAM

Driver s Pathway Anticipation

IMPACT OF AUTOMATED HIGHWAY SYSTEMS ON INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH.

Connected Vehicles for Safety

SIP-adus Workshop A Traffic-based Method for Safety Impact Assessment of Road Vehicle Automation. Tokyo, 14 th November 2018

University of Michigan s Work Toward Autonomous Cars

BMW GROUP DIALOGUE. HANGZHOU 2017 TAKE AWAYS.

State-of-the-Art and Future Trends in Testing of Active Safety Systems

The IAM in Pre-Selection of global automotive trends impacting the independent multi-brand aftermarket

Autonomous Vehicles. Conceição Magalhães 3 rd AUTOCITS workshop, October 10 th, Infrastructure Overview

ADVANCED EMERGENCY BRAKING SYSTEM (AEBS) DISCLAIMER

ADLATUS CR700. Fully autonomous cleaning robot system

Response to. Department for Transport Consultation Paper. Allowing Learner Drivers To Take Lessons on Motorways

Opening statements EUROPEAN TRUCK PLATOONING CHALLENGE 21 MARCH Jack Martens BRUSSELS. Chairman of ACEA task-force platooning

Expansion of Automobile Safety and Mobility Services at TRC Inc. Joshua L. Every Taylor Manahan

«From human driving to automated driving"

Road Vehicle Automation: Distinguishing Reality from Hype

ITS and connected cars

David Pickett [Volvo Car Australia]; [National Road Safety Forum 2

Transcription:

VEHICLE AUTOMATION. CHALLENGES AND POTENTIAL FOR FUTURE MOBILITY. Dr. Thomas Helmer, BMW AG SESAR Innovation Days 11.2017

ROAD TRAFFIC: MANY INDIVIDUALS WITH LITTLE OVERALL MANAGEMENT. A SHORT GLANCE AT TYPICAL SITUATIONS Source: www.youtube.com/results?search_query= simple+solition+to+traffic Vehicle Automation SESAR Innovation Days 11.2017 Page 2

THE TECHNOLOGY OF AUTONOMOUS DRIVING HAS A GREAT IMPACT FOR OUR CUSTOMERS AND THE COMMUNITY. MORE COMFORT MORE TIME MORE FLEXIBILITY MORE SAFETY HIGH-PERFORMANCE-COMPUTING ARTIFICIAL INTELLIGENCE COMPUTER VISION SENSOR RAW DATA PROCESSING LESS ACCIDENTS LESS PARKING LOT SEARCH LESS TRAFFIC LESS CO 2 VALIDATION METHODS SYSTEM SAFETY AND ROBUSTNESS Source: BMW Vehicle Automation SESAR Innovation Days 11.2017 Page 3

AIR AND ROAD TRAFFIC: THE SAFETY SITUATION. Fatalities per year (worldwide) Relative risk per bil. passenger miles (US) Road traffic 1 250 000 Air traffic 425* WHO: Global status report on road safety 2015 * avg. 2012-2016, ICAO Safety Report 2017 Vehicle Automation SESAR Innovation Days 11.2017 Page 4

ROAD TRAFFIC SAFETY BECOMES A GLOBAL CONCERN. STRONG DIFFERENCES AROUND THE WORLD REGARDING MODALITY AND RISK. Leading cause of death Source: WHO: Global status report on road safety 2015 Vehicle Automation SESAR Innovation Days 11.2017 Page 5

DEVELOPMENT OF ROAD TRAFFIC SAFETY. EXAMPLE GERMANY. SAFETY MEASURES SHOW EFFECT. Accidents / fatalities / injured persons / mileage (1970 = 100%) 300% 250% 200% 150% 100% 50% 0% 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 Source: Federal Statistical Office DESTATIS.de Time series accident data 1970 2016, Germany Mileage Accidents Injured persons Fatalities Example Germany: Reduction of fatalities from 1970 (21332) to 2016 (3206) by approx. 6/7. Year Active Safety Passive Safety 766 bil. km (305%) 2,6 Mio. (186%) 396666 (69%) 3206 (15%) EU-28 2016: 25500 fatalities US 2016: 37461 fatalities Sources: EU: European Commission - Fact Sheet, MEMO/17/675 US: 2016 Fatal Motor Vehicle Crashes: Overview, DOT HS 812 456 Vehicle Automation SESAR Innovation Days 11.2017 Page 6

LEVEL OF AUTOMATION FOR ON-ROAD VEHICLES. 0 1 2 3 4 5 HANDS ON EYES ON HANDS ON EYES ON HANDS TEMP. OFF EYES TEMP. OFF HANDS OFF EYES OFF HANDS OFF MIND OFF HANDS OFF DRIVER OFF Longitudinal or lateral control Traffic control Awareness for take over No driver intervention No active assistance system No driver TASK OF THE DRIVER Longitudinal or lateral control Longitudinal and lateral control Take over request No take over request TASK OF THE CAR NO AUTOMATION DRIVER ASSISTANCE PARTIAL AUTOMATION CONDITINAL AUTOMATION HIGH AUTOMATION FULL AUTOMATION HUMAN TRANSITION OF RESPONSIBILITY (control and guidance) MACHINE Source: SAE J3016, Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. Vehicle Automation SESAR Innovation Days 11.2017 Page 7

ADVANCED DRIVER ASSISTANCE SYSTEMS. CURRENT STATE OF THE ART: BMWX3 SERIES. Source: BMW Nederland www.youtube.com/watch?v=v-ok6wnqq1s Vehicle Automation SESAR Innovation Days 11.2017 Page 8

ADVANCED DRIVER ASSISTANCE IN THE NEW BMW 5 SERIES. COMFORT AND SAFETY AT THE HIGHEST LEVEL. Crossing traffic warning rear / front Top View Remote Night Vision Lane keeping assistant with active side collision protection Active cruise control with Stop&Go function Rear collision prevention Crossroad Assist Lateral parking aid Distance information Lane departure warning 3D View Top View Parking assistant Active Park Distance Control BMW Selective Beam Remote Control Parking Steering and lane control assistant Panorama View Speed Limit Device Speed limit and No Pass information Wrong Way Assist Lane change warning Speed Limit Assist Approach control warning with braking function Source: BMW Vehicle Automation SESAR Innovation Days 11.2017 Page 9

MORE TIME, NEW MOBILITY, INCREASED EFFICIENCY, DIFFERENT CITIES,... Source (t.l. clockwise): autovolts.com; globalspec.com; wordpresscom; 2025ad.com; inserts (t.l. clockwise): techmalak.com; scania.com; abc7news.com Vehicle Automation SESAR Innovation Days 11.2017 Page 10

ROAD AND AIR TRAFFIC. NEW CONCEPTS COULD EXTEND ROAD TRAFFIC TO THE THIRD DIMENSION. Source (l. to. r.): Daimler; theverge.com Vehicle Automation SESAR Innovation Days 11.2017 Page 11

ROAD AND AIR TRAFFIC. DIFFERENT TRANSPORT SYSTEMS AND DIFFERENT OPERATORS. Inhomogeneous driver groups (experienced / inexperienced, old / young, etc.) Mixed infrastructure with other traffic participants No overall traffic management or control Highly trained personnel Dedicated flight corridors Exclusive infrastructure / overall traffic control Source (l. to. r.): BMW, shutterstock.com; eurocontrol.int; lufthansa.com Vehicle Automation SESAR Innovation Days 11.2017 Page 12

THE OPTIMAL LEVEL OF AUTOMATION DEPENDS ON THE DRIVING TASK. ACTIVATION MODEL FOLLOWING YERKES / DODSON (1908). Delegation of tasks Information / foresight Safety functions Performance of the driver Requirements Performance BOREDOM CONTROL, FLOW STRESS Need of assistance or automation UNDERLOAD OPTIMUM OVERLOAD Difficulty of driving task Bored out ideal Burned out Maximum performance by the human can be reached at a medium level of strain. Source: based on http://www.viriya.net/jabref/the_relation_of_strength_ of_stimulus_to_rapidity_of_habit-formation.pdf Vehicle Automation SESAR Innovation Days 11.2017 Page 13

ASSISTANCE AIMS AT THE COMBINATION OF ADVANTAGES OF BOTH HUMAN AND MACHINE IN THE DRIVER-VEHICLE SYSTEM. Rapiddecision-making, even in highly complex situations Flexibility to respond to the situation as required No susceptibility to fatigue, stress or distraction Continuous improvement of collective knowledgeby learning Rapid interpretation of (previously unknown) situations Instantaneous ethical assessment of situations Source: BMW Forward-thinking responses / anticipation Strongly developed ability to improvise Fast pre-programmedreaction with high level of precision Objective measuring and assessment of physical values such as distance,relative speed or acceleration Precise and reliable repetition of pre-defined processes Vehicle Automation SESAR Innovation Days 11.2017 Page 14

THE HUMAN IS NOT MADE FOR MONITORING TASKS. GENERAL EFFECTS OF AUTOMATION ARE WELL KNOWN. Humans are not built for monitoring tasks (Reason et al. 1990) 99% boredom and 1% panic fear (Kraiss, 1994) Monitoring drivers are less likely to intervene (Gold et al. 2013) Drivers engage more in non-driving related tasks when driving automated (Carsten et al. 2012) Source picture: BMW The more advanced a control system is, so the more crucial may be the contribution of the human operator (Bainbridge, 1983) Vehicle Automation SESAR Innovation Days 11.2017 Page 15

SPECIFIC CHALLENGES OF VEHICLE AUTOMATION. Certification Trust Test / validation Reliability Mode awareness Safety Acceptance Overreliance in automation Take over process Ethics Situation awareness Loss of skill Liability Security Risks of automation Vehicle Automation SESAR Innovation Days 11.2017 Page 16

INCREASED VEHICLE AUTOMATION. WHERE ARE WE TODAY? Source: BMW Vehicle Automation SESAR Innovation Days 11.2017 Page 17

DEPLOYMENT SCENARIOS. DRIVING SPEED & SCENARIO COMPLEXITY AS KEY FACTORS. L4/5: 1st Generation >2025 (Phase-In >2020) L2: e.g. BMW 7&5-series, today Complexity Traffic Scenario Inner City New Mobility Concepts Next Generation? Rural Flow & Safety L3/L4: 1st Generation (L3) >2020 2nd Generation (L4) Highway Travelling Comfort & Safety Driving Speed Source: BMW Vehicle Automation SESAR Innovation Days 11.2017 Page 18

ONE POSSIBLE FUTURE: ADEQUATE ASSISTANCE AND AUTOMATION IN EVERY SITUATION. Source: BMW Vehicle Automation SESAR Innovation Days 11.2017 Page 19

CONCLUSION. 1 2 3 4 Automation promises new business models, increased traffic safety, and improved traffic efficiency. Understanding the driver, traffic situations and related driving tasks is essential for successful driver assistance and automation. Increasing automation poses new challenges to human-machine-interaction as well as testing & validation of functions. The successful introduction and full realization of potentials of automation in road traffic depends on a comprehensive knowledge of human, technology, and traffic. Vehicle Automation SESAR Innovation Days 11.2017 Seite 20

Vehicle Automation SESAR Innovation Days 11.2017 Page 21

IMPLICATIONS FOR CONDITIONAL AUTOMATION (L3). THE DRIVER WILL REMAIN A CRITICAL PART. If a system limit is encountered, the driver must take over control within a given period. The driver remains the fallback level for scenarios the automation is not able to handle. Driver performance is therefore crucial for ensuring safety for highly automated vehicles. Vehicle Automation SESAR Innovation Days 11.2017 Page 22

TAKE OVER SCENARIO FOR L3 HIGHWAY PILOT. Source: BMW Vehicle Automation SESAR Innovation Days 11.2017 Page 23