Automatisiertes Fahren: Trends, Komponenten und Herausforderungen Fachtagung Autonomes Fahren, 17. Juni 2019, Opel Arena Mainz Dr. Andreas Teuner Active Safety Systems, Electronics & ADAS VP Engineering, ADAS Agenda 01 ZF Group 02 Komponenten 02 Mission & Vision 03 From ADAS to AD © ZF Friedrichshafen AG 2 ZF Group © ZF Friedrichshafen AG 3 ZF Strategy: “Next Generation Mobility” • Clean and safe mobility Next Our mission Generation • Automated, comfortable, and affordable Mobility • For everyone, everywhere Commercial Segments Passenger vehicles/ Industrial cars public applications transportation Automated Vehicle Motion Integrated safety Electromobility Technical driving Control fields UNIQUE SELLING PROPOSITION: SYSTEM INTEGRATION Mature markets (EU, USA, Japan) New markets (India, China, etc.) Markets Current customers New mobility customers ZF’s top Innovation and cost Balanced market Financial Globally attractive Diversified product goals leadership penetration independence employer portfolio © ZF Friedrichshafen AG 4 ZF Shapes the Future in Four Technology Fields Vehicle Motion Control Integrated safety Automated driving Electromobility © ZF Friedrichshafen AG 5 Urban Mobility of the Future Next Generation Mobility – Individual Solutions for People and Freight © ZF Friedrichshafen AG 6 Financial Overview 2018 EUR 2.1 billion EUR 2.5 billion EUR 1.6 billion adjusted EBIT Research & investments in Development property, plant, and equipment EUR 36.9 billion EUR 1.4 billion 148,969 sales reduction of employees gross debt © ZF Friedrichshafen AG 7 Strategic Market Segments of Autonomous Driving People & Ride Hailing Industry Passenger Car Commercial Vehicles Cargo Mover Automation Traditional OEMs Comm. Vehicle OEMs People and Cargo Transport as a service Automated Operation and Fleet Owners Purpose Built Vehicles providers PBV manufacturer with TaaS as business Automation as cost Car manufacturer with HCV / LCV manufacturer business model to model to end customers reduction factor business model to with business model to fleet owners, cities, end customer fleet owners mobility providers no fleet ownership highly diversified market Fleet owners low asset valuation © ZF Friedrichshafen AG 8 Components © ZF Friedrichshafen AG 9 SEE S-Cam 3 Camera S-Cam 4 Camera TriCam Camera Scalable Remote Camera Interior Observant System Crash Sensors AC1000 NextGen Radar Imaging Radar 360° Surround Radar Innovation 3D Solid-State Lidar 77GHz Radar MR 77GHz MR Radar 77GHz SR Radar View Radar Technology Systems © ZF Friedrichshafen AG 10 THINK Safety Domain ECU Image Processing Module Nividia ProAI Gen 1 & 2 With Central Fusion ADAS & Automated Driving Functions Braking and Powertrain Steering ECUs Control Units © ZF Friedrichshafen AG 11 ACT Electrically Powered Integrated Brake Control (IBC) Active Buckle Lifter/ACR Shock Absorbers Transmission Steering Belt Drive (EPS BD) © ZF Friedrichshafen AG 12 Mission & Vision © ZF Friedrichshafen AG 13 Automated Driving - Motivation Safety – “Vision Zero” Improve road safety by reducing driver errors. Efficiency Optimized driving strategy and routes. Comfort More relaxation for drivers. Extended Mobility No limitation for seniors, disabled or Source: "Power companies build for your new electric living". The Victoria Advocate. 24 March 1957. teenagers. © ZF Friedrichshafen AG 14 Vision, Mission and Focus Area of the Automated Driving Team Mission: • Develop production-ready automated driving functions and associated algorithms that can be bundled with components or even supplied standalone. • Define future architecture and product requirements for automated driving functions and associated components. • Building on existing components in or near to mass production. Source: http://firstselectionbd.com/fsweb/index.php/vision-mission Focus Area: • Function development • System Engineering and Functional Safety. • Algorithm Development. • Vehicle Prototyping and Customer Engagement. © ZF Friedrichshafen AG 15 Ancient vision of the future… But this happened in between… © ZF Friedrichshafen AG 16 Nominal Performance © ZF Friedrichshafen AG 17 Nominal Performance source: www.nytimes.com/interactive/2016/07/01/business/inside-tesla-accident.html source: https://spectrum.ieee.org/cars-that-think/transportation/self-driving/fatal-tesla-autopilot-crash-reminds-us-that-robots-arent-perfect © ZF Friedrichshafen AG 18 From ADAS to AD © ZF Friedrichshafen AG 19 From ADAS to Automated Driving Lane Keeping Traffic Sign Adaptive Blind Spot Collision Emergency Emergency Lane Change Assist Assist Cruise Detection Mitigation Brake Steering Assist Control Braking Assist Assist ADAS functions only perceive the part of environment of interest. Essential information for automated driving are not even observed, filtered out or treated in function- specific way. • Sensor(s): Full range radar, camera • Environment Model: Moving points; lane markings, traffic signs, object fusion (radar/camera) • Control: Dynamic objects Environment Model, Hariolf Gentner, BMW, 27.02.2014 © ZF Friedrichshafen AG 20 The True Situation – Challenge for AD Functions Lane Keeping Traffic Sign Adaptive Blind Spot Collision Emergency Emergency Lane Change Assist Assist Cruise Detection Mitigation Brake Steering Assist Control Braking Assist Assist Key building block is the perception of the whole environment independent of the function. This leads from decentralized and separated ADAS functions to one function with centralized architecture from function and system point of view. Foto: http://www.nordbayerischer- kurier.de/sites/default/files/styles/facebook/public/23.4wit.013.baustelle_a_70.jpg.jpg?itok=ypZ9tl5t © ZF Friedrichshafen AG 21 Evolution or Revolution? Monitored Driving Non-monitored Driving Level 3 Level 0 Level 1 Level 2 Level 4 Level 5 (Conditional (Driver Only) (Assisted) (Partial Automation) (High Automation) (Full Automation) Automation) Eyes-ON Eyes-ON Eyes-ON Eyes temp. OFF Eyes-OFF Eyes-OFF Hands-ON Hands-ON Hands temp. OFF Hands temp. OFF Hands-OFF Hands-OFF Revolution Available Mass Market Functions Evolution ADAS sensors: ADAS compatible ADAS sensors with Forward/rear/side actuators: computational ECU or Redundant looking radar ECU(Domain grid ECU) (for 360° sensing & actuation Electronic Power environmental model Forward/rear looking Steering camera and path planning) Behavioral function Ultrasonic / Lidar Electronic Slip Control Highway Support Highway & Urban e.g.: Speed Limit Alert Adaptive Cruise Control (Single-Lane & Multi- Chauffeur & Pilot Forward Collision Alert Emergency Brake Lane) Lane Departure Assist Warning Lane Keeping Assist Urban Support Costs? Blind Spot Warning Legal issues? Security? © ZF Friedrichshafen AG 22 Key Challenges for Automated Driving Key topics Automated Driving System and Function Architecture to answer Need for centralized architectures. Verification and Validation Strategies Methodology and data management solutions missing. Human-Robot-Interaction Intense interaction between driver and automated vehicle. Sensor Technologies Key technologies are missing. Algorithm and Function Processing Units Immense processing power needed. © ZF Friedrichshafen AG 23 23 NEXT EXIT: HIGHLY AUTOMATED DRIVING © ZF Friedrichshafen AG 24.