Automotive Sensor Systems

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  • Get an overview of the latest developments in sensor technology and their impact on autonomous driving
  • Find out about future requirements on sensors, including sensor fusion and scalability
  • Learn how artificial intelligence uses sensor data to make informed decisions
  • Gain insights into the current status of the SOTIF working group and get informed about automotive security as it relates to functional safety
  • Expand your international network and exchange your expertise and ideas with specialists and participants
  • Profit from interactive sessions and take part in a panel discussion and world cafés
Automotive Sensor Systems - International VDI Conference

At the international VDI conference “Automotive Sensor Systems” you will learn about current sensor technologies in the context of the road from automated to fully autonomous driving. Take part in various expert presentations to gain insights in the increasing requirements on sensor systems, the importance of sensor and information fusion as well as the significance of approaches to test, simulate and verify sensor performance. You will also have the chance to find out more about the relationship between functional safety and automotive security and the role of artificial intelligence in processing and interpreting sensor data.

Innovative Sensor Technology as the Backbone of Autonomous Driving

Automotive technology is progressing at an incredible pace. On the way from partly automated towards fully autonomous driving, exact environmental information provided by sensors (Radar, Lidar, Camera) is essential. Artificial intelligence is using, processing and interpreting the data gathered by sensors to make substantiated decisions. Accordingly, the performance of existing sensors has to be optimized, new systems need to be developed and requirements on the sensors (in technical, qualitative and economic terms) have to be redefined in order to make them scalable and even more safe and powerful.

Conference Topics

The main topics of the international “Automotive Sensor Systems – Sensor Technologies on the Way to Autonomous Driving” conference include, among others:

  • Advanced Sensing Solutions (Radar, Lidar, Camera, Maps)
  • Changing and Future Requirements for Sensor Systems
  • Functional Safety and Automotive Security as it relates to Safety
  • Testing, Simulation & Verification of Sensor Performance
  • The Role of Artificial Intelligence in processing and interpreting Sensor Data

On top of that, you will also find out more about:

  • Regulations and Standards
  • Insurance Aspects
  • Outside the Box: Sensor Technologies in other Industries

Framework Program of the Conference

Take part in excellent networking opportunities and meet international experts, specialists and other participants for inspiring discussions both during the networking breaks as well as at the evening event in a more relaxed atmosphere. Accompanying and complementing the conference we also offer an international workshop on “Blockchain Technologies for Automotive Applications”. Book both Events and benefit from a discounted package price.

Who should attend the Conference?

This international conference addresses engineers and technical specialists as well as decision makers with technical background from OEMs and suppliers of the automotive industry working in the following areas:

  • ADAS / Driver Assistance Systems
  • Automated / Autonomous Driving
  • Active Safety / Functional Safety
  • Automotive Security
  • Sensor Systems for environmental Analysis, Sensor and Information Fusion
  • Maps & localization
  • Advanced Development & Engineering
  • Testing & Simulation
  • Electrics / Electronics
  • R&D

The conference will also be of interest to software and technical service providers, system integrators, component and module suppliers as well as to specialists from the areas of standardization and certification.

Book the VDI Conference Automotive Sensor Systems Now

Would you like to keep track on the latest developments when it comes to sensor technology and its relevance for automated and autonomous driving? Are you looking for an event that offers presentations from internationally renowned experts as well as excellent networking opportunities? Then secure yourself a seat right now at the international VDI “Automotive Sensor Systems – Sensor Technologies on the Way to Autonomous Driving” conference.

Download Program PDF

Program of the Conference

Tuesday, February 6, 2018


Registration & welcome coffee


Chair‘s Welcome and Opening Address
Conference chair: Dipl.-Ing. Holger Meinel, Independent Automotive Radar Expert

I. Requirements for Future Sensing Solutions


Scalability of Sensor Systems for active Safety and Autonomous Functions

  • Scalable sensor system from L1-L5
  • Reuse of software and hardware
  • Reuse of requirements and verification

Annelie Wyholt, Senior System Designer, Volvo Cars, Sweden


Automated Vehicle Sensor Platform for adverse Weather Conditions

  • Driving adverse weather – Challenges
  • Sensor platform requirements and metrics
  • Foggy and snowy weather conditions
  • Novel sensor solutions
  • Towards 24/7 automated driving

Dr. Matti Kutila, Senior Project Manager, Automated Vehicles, VTT Technical Research Centre of Finland Ltd., co-author: Dr. Werner Ritter, Manager, Daimler AG, Germany


Building self-driving Delivery Robots

  • The Starship Technologies business story and our semiautonomous delivery robot
  • The robot‘s sensors and how these are used
  • The decision not to use LIDAR
  • Deep learning and sensor fusion

Kristjan Korjus, MMATH, Head of Computer Vision & Perception, Starship Technologies, Estonia

II. Advanced Sensing Solutions


Radar for self driving cars

  • Requirements: Use cases which drive Radar Performance
  • What is needed from Radar perception
  • What is needed from Radar HW: Radar HW co-design
  • Development samples
  • Summary

Dr. Jürgen Dickmann, Head of Radar and Radar Perception for self drving Cars, Daimler AG, Germany




Lidar Design for Automotive Applications

  • Sensor Design based on OEM requirements
  • Integration Design – Criteria and feasibility
  • Application Design – LiDAR vs camera

Kris Demeester, VP Sales & Business Development, XenomatiX, Belgium


Maps as a Sensor

  • The need for a new generation of map, the HD map, as an additional sensor for automated driving
  • What is in the HD map and how does it contribute in the vehicle perception stack
  • The creation and maintenance process: Cloud learning based on crowd sourcing as a fundamental component in HD mapping

Dietmar Rabel, Director Product Management Automated Driving, HERE GmbH &
Co. KG, Germany


Making Cameras self-aware for Autonomous Driving: Online Calibration & Blockage Detection

  • Camera-based detection of obstructions/blockage (soil, dirt, mud etc.)
  • Automatic and highly accurate calibration of cameras extrinsic parameters
  • Unified system of tools for ADAS development
  • Automatic procedures for test and validation

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


Facets of the Usage of high-precision digital Maps for Driver Assistance and Autonomous Driving

  • Importance and advantages of high-precision maps in driver assistance systems
  • Aspects in context of provisioning and distribution throughout the vehicle bordnet
  • Efficiency considerations with respect to representation and access on map information on embedded systems
  • Future potential in the context of intelligent learning systems

Tobias Brosch, Machine Learning Development Specialist for Autonomous Driving, BMW Car IT HmbH, Germany


Networking & coffee break

III. Perspectives on Functional Safety


Introduction into SOTIF ISO/PAS 21448 – Safety of the intended Functionality

  • What is SOTIF and how does it relate to ISO26262?
  • The current status of SOTIF: A report from the ISO working group
  • Examples of how and where SOTIF should be applied
  • SOTIF and high level automation: The current gaps and challenges

Dipl.-Ing. Alexander Mirmilstein, Manager Functional Safety, IEE S.A., Luxembourg


Automated Driving and Insurance

  • Application of assisted and automated driving technologies on the roads
  • Definition of the existing and new protocols within Euro NCAP
  • Crash reduction through assisted and automated driving technologies
  • Necessity of clear guidelines
  • Use case: Guidelines for assisted and automated systems from international insurers to help vehicle manufacturers, governments and legislators

Matthew Avery, Director Insurance Research, co-author: Colin Grover, Lead Engineer Assisted and Automated Driving, both: Thatcham Research, UK


Automotive Safety and Cyber Security – The Road to the safe Connected Car

  • Cyber security challenges with connected cars
  • Functional safety and cyber security – A comparison
  • How to integrate safety with cyber security
  • Cyber security as the foundation for the connected and automated car
  • Way forward – Standardization and compliance

Dionis Teshler, CTO, GuardKnox, Israel


Functional Safety from Driver Assistance to Automated Driving – An OEM Perspective

  • Development of advanced driver assistance systems
  • Sensor Systems: From fail-safe to fail-operational
  • Validation of sensor algorithms in regards of false-positives and falsenegatives
  • The interface to Tier One - Solving the integration challenge between OEM and Tier One

Ivan Divkovic, M.Sc., Systems Safety Engineer, Opel Automobile GmbH, Germany


End of conference day one

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.

Wednesday, February 7, 2018

IV. Data & Artificial Intelligence


Apollo Program – Building up a New Innovation Eco-System of Autonomous Driving

  • Artificial Intelligence: Baidu‘s artificial intelligence background and its application to autonomous driving
  • Eco-System: Baidu‘s Apollo program and open source platform, past achievements and future roadmap
  • Perception and Planning: Two core autonomous driving modules that can be powered by artificial intelligence in Baidu-Self-driving: The self-driving markets in China and the Apollo eco-system

Dr. Liang Wang, Principal Architect, Autonomous Driving Unit, Baidu, China


Making Sense of the Data to build a cognitive Autonomous Driving Experience

  • Active digital twins on devices and systems
  • Real-time awareness, edge analytics, contextual and environmental support
  • Cognitive driver profiling and personal assistant
  • On-board and cloud-based automotive security system
  • Connected continuous engineering

Serge Bonnaud, Executive Architect, co-author: Charles-Henry Jurd, European IoT Technical Leader for Automotive, IBM Watson IoT, France


Behavioral Science Approaches to Sensor Fusion and Machine Learning for ADAS & AD

  • Why behavioral science tools can be applied to machine learning for ADAS & AD?
  • What are the sensor data requirements for solving ADAS & AD problems?
  • What are the future avenues for sensor fusion and machine learning?

Samuel Anthony, CTO, Perceptive Automata Inc., USA


AI in the Driver Seat

  • Challenges of autonomous vehicles: Computational requirements, sensors and complexity
  • Building blocks for developing autonomous vehicle applications for perception, localization, and path planning
  • Importance of SIL and HIL in taking an autonomous vehicle to market

Pradeep Chandrahasshenoy, Senior Manager – Solution Architecture, Autonomous Vehicle Platforms, NVIDIA GmbH, Germany


Networking & coffee break


World Cafés

  • Human Behavior Prediction for ADAS and Automated Driving
    Sid Misra, CEO, Perceptive Automata Inc., USA
  • Processing Video Information with AI
    Florian Baumann,
    Technical Director, ADASENS Automotive GmbH, Germany
  • Functional safety and validation of deep neural networks
    Sebastian Ramos, Subject Matter Expert for Deep Learning, Zenuity, Germany
  • Using fused Sensor Data for Decision Making based on Deep Learning
    Pradeep Chandrahasshenoy
    , Senior Manager – Solution Architecture, Autonomous Vehicle Platforms, NVIDIA GmbH, Germany


V. Testing & Simulation


ADAS and Autonomous Vehicle Radar Simulation with High-Fidelity Physics

  • Isolated: Antenna, radome evaluation with radar mounted in free space
  • As-Installed: Effect of fascia and nearby vehicle components on radar performance
  • In-Environment: Calculation of radar response from different target objects in different orientations
  • In-Driving-Scenario: Simulation of dynamic radar response in an animated driving scenario
  • Reduced order modeling for including high fidelity radar simulation into autonomous vehicle simulator

Dr. Sandeep Sovani, Global Director Automotive Industry, ANSYS Inc., USA; co-authors: Jacques Duysens, Director of Systems Business Unit, ANSYS France; Marco Oswald, Technical Account Manager, ANSYS Germany


Sensor Test Methods and Tools for Automated Driving

  • Overview on different sensors for ADAS and automated driving
  • Sensor fusion methods
  • Test methods for sensor perception
  • Test tools for sensor perception
  • Future sensor validation for Automated Driving

Dr.-Ing. Adrian Zlocki, Senior Manager ADAS, Forschungsgesellschaft Kraftfahrwesen mbH Aachen – fka, Germany


Meeting the Test Challenges of mmWave Automotive Radar Sensors

  • mmWave auto radar and ADAS
  • Motivation to electronic test
  • Key characteristics of auto sensor test solution
  • Analog and digital emulation solutions
  • Auto radar sensor measurement techniques

Amarpal Khanna, Ph.D., Distinguished Engineer, R&D, co-author: Pete Pragastis, Marketing Manager, both: National Instruments Corporation, USA


Conference chair’s closing remarks


End of conference

Free of charge whitepaper download

New opportunities are on the way with cognitive technology for cars
Author : Charles-Henry Jurd, IBM Watson

Download now

Eventnumber : 01KO921

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

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