International VDI Conference - Automotive Sensor Systems

Registration & Welcome Coffee

Chair’s Welcome and Opening Address

Dipl.-Ing. Holger Meinel, Independent Automotive Radar Expert, Germany

I. The Future Road - Where are we heading with ADAS Sensing Technologies?

09:45 ADAS Sensor Market & Technology Trends

• Overview of the sensors needed for ADAS and its market value
• Roadmap and technology evolution of the main ADAS sensors 
• Players landscape and supply chain evolution

Cédric Malaquin, Market & Technology Analyst, Yole Développement, France

ADAS Sensor Systems - Challenges, Trends and Technologies towards Automated Driving

• Challenges in ADAS sensor systems from a Tier 1 perspective
• Trends, innovations and key technologies in ADAS sensing
• Systematic combination and topologies of sensor technologies

Dr.-Ing. Martin Pfitzner, Head of Sensor Networks, Continental AG, Germany

II. Innovations and future Requirements in ADAS Sensing Technologies

Multi-Domain LiDAR Sensing

• Super-Resolution LiDAR processing
• Multi-Domain data fusion
• Point-wise classification

Raul Bravo, CEO, Dibotics, France

Staying ahead of the Curve: Advancing Radar and the Future of Autonomous Driving

• The overlooked sensor gap to reaching level 4 and 5 autonomy
• How next-generation radar is an unexpected solution
• Challenges in the engineering of a high resolution automotive radar
• Resolving ambiguities and achieving low false alarm rates
• Coping with mutual radar interference

Dr. Yoram Stettiner, CSO, Arbe Robotics, Israel

A centralized Environment Model as an Enabler for Assisted and Automated Driving

• Strategical and technical requirements and design principles
• Technical realization and usage for different DAS/AD functions
• Lessons learned from series development

Dr.-Ing. Mirko Mählisch, Senior Manger and Head of Development Environment Model and Map-Learning for Automated Driving, Audi AG, Germany

Lunch

Camera based Lane Change Assistant for mirrorless Cars 

• Optimizing the driver’s view with cameras replacing vehicle rear-view
• Integration of various algorithms into a Camera Monitor System (CMS)
• Using the CMS for collision avoidance and blind spot detection
• Advantages, disadvantages and system limits

Dr.-Ing. Florian Baumann, Technical Director, ADASENS Automotive GmbH, Germany

Near-Field 3D Sensing based on Ultrasound

• Using ultrasonic echolocation for real-time 3D object detection
• Covering edge-cases: Where ultrasound fits in the sensor stack
• Sensor data examples and applications

Tobias Bahnemann, Managing Director & Co-Founder, Toposens GmbH, Germany

Interactive World Café Session (Exemplary Topics)

• Ultrasound sensor vision for automotive applications
• Differences in the sensor sets from level 3-4 
• Validation of AI / Sensor data for AV
• Hardware for next generation millimeter wave automotive radar sensor

Networking & Coffee Break

III. Legal Framework, Functional Safety and Security Challenges

The AUTOSAR joint Platforms for Autonomous and Connected Vehicles

• Introduction to automotive open system architecture
• Standardization of software platforms
• The context of safety and security and handling of sensor systems
• Outlook and roadmaps

Dr.-Ing. Thomas Scharnhorst, Spokesperson, AUTOSAR Development Partnership, Germany

Legal Challenges for Autonomous Driving and ADAS

• Status quo: What is legally possible in ADAS? 
• Legal risks and implications for OEMs and further stakeholders 
• Accessing the question of liability

Dr., LL.M. Andreas Eustacchio, Attorney at Law, Partner, Eustacchio Rechtsanwälte – Attorny at Law, Austria

Functional Safety for Automated Driving

• SOTIF: Status quo and future developments
• The relation of SOTIF and ISO26262
• Machine learning and functional safety

Thomas Weispfenning, Senior System Safety Engineer, Opel Automobile GmbH, Germany

Threats and Solutions in Automotive Sensors - GNSS and LiDAR

• Vulnerabilities in automotive sensors and incidents analysis
• In depth analysis and research of LiDAR threats and protection solutions
• OEM and Tier 1 best practices for sensor safety and security
• Outlook on sensor 2.0 and definition of sensor cyber security in regulation

Gal Cohen, M.Sc., VP R&D, co-author: Yoav Zangvil, B.Sc., CTO & co-Founder, both: Regulus Cyber, Israel

Get-Together At the end of the first conference day we kindly invite you to use the relaxed and informal atmosphere for in-depth conversations with other participants and speakers.

Get-Together

At the end of the first conference day we kindly invite you to use the relaxed and informal atmosphere for in-depth conversations with other participants and speakers.

IV. Testing, Simulation & Validation of Sensor Functions and ADAS Systems

Advanced Safety LiDAR Solutions and Opportunities in their Testing and Validation

• Overview on advanced LiDAR solutions 
• Market segmentation and specific requirements for LiDAR 
• LiDAR component testing and system validation
• Safety and standardization implications for LiDAR

Dr.-Ing. Mircea Gradu, Chief Quality Officer, Velodyne LiDAR, President SAE International, USA

Enabling virtual Product Validation: Standards for the Development of Autonomous Driving

• Standardization of the tool chain
• Integration and development of models 
• Outlook on the future ecosystem for validation

Carlo van Driesten, M.Sc., Project Lead Virtual Test & Validation, BMW AG, Germany

Networking & Coffee Break

Collision Detection Systems for Future Robots and Vehicles inspired by Insects 

• Collisions lead to fatalities or other social consequences
• Building trustworthy collision detection systems
• Inspiration from insects‘ visual pathway shed lights on reliable solutions

Prof. Shigang Yue, Professor in Computer Science, University of Lincoln, UK

V. Excursus: Driver Monitoring

Eyetracking on the Way to fully Autonomous Vehicles

• Technology and principles of driver monitoring systems
• Sensing based on deep learning and vision processing
• Sensing use cases related to safety, comfort and autonomous

Henrik Lind, Chief Research Officer, Smart Eye AB, Sweden

Attention Sense: Coffee Break Estimation for Truck Drivers 

• Types of inattentive driving and its role in traffic accidents
• Causes of inattentive driving and methods to detect it
• Inspection for the detection method based on “driving performance” and selection of key features
• Results obtained with Ford Cargo truck by using key features

Dr. Oguz Icoglu, R&D Engineer, co-author: Dr. Ilhan Kubilay Yalci, R&D Engineer, both: Ford Otosan, Turkey

3D Eye Tracking for Level 5 HMI

• Introduction to 3D eye tracking 
• Using consumer depth sensing cameras to track eye-gaze
• Automotive use cases: Driver monitoring and assistance

Bastjan Prenaj, Co-founder and CBDO, Eyeware, Switzerland

Lunch

VI. The Role of AI in interpreting Sensor Data & its Impact on ADAS Applications

Deep Learning in Sensors: The New Big Data

• Why data science and deep learning are so hot?! 
• Sensor data is a gold mine
• IoT and sensors making a better life
• Time series data: A novel method to make predictions

Mohammad Shokoohi-Yekta, PhD, Senior Data Scientist and Adjunct Faculty, Apple Inc. and  Stanford University, USA

AI, Insurance and Automotive Safety – Using AI to Increase Road Safety

• Using AI to create insurance policies that nudge people into smart driving behavior
• Correlating behavior to risk with pattern profiling
• The power of prediction: How AI can increase road safety
• Human vs. machine: The challenges and opportunities of AI in autonomous vehicles 
• Way forward: The future of AI within car insurance

Liselott Johansson, CEO, Greater Than AB, Sweden

3D Computer Vision for Self-Driving Cars

• Leveraging camera sensors to create realtime large-scale 3D maps and localization (SLAM) 
• Technologies enabling the most accurate realtime capable visual SLAM solutions
• Cameras can complement lidar sensors, offering a low-cost solution with high data rate

Prof. Dr. Daniel Cremers, Chair of Computer Vision & Artificial Intelligence, TUM and Co-Founder & CSO, Artisense Corporation, Germany

Conference Chair‘s closing Remarks

End of Conference