International VDI Conference - Automotive Sensor Systems Sensor Technologies on the Way to Autonomous Driving

 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?

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

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, Stanford University, USA

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

Enes Dayangac, SW Product Engineer, 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
Assessing the question of liability

Dr., LL.M. Andreas Eustacchio, Attorney at Law, Partner, EUSTACCHIO Rechtsanwälte – Attorneys 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

End of Conference Day One

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 System

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

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

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