Online Certificate Course
Simulation of Automated Vehicles  

Turning the vision of autonomous driving into reality requires a fundamental digital transformation which forces engineers to face multidimensional and interdisciplinary challenges. Computer simulation offers a key technology for handling these complex tasks and will be a game changer as a strategic element of product lifecycle. But more than ever before, agile, cross-company and cross-border digital processes are required. This also places new demands on the workflow and knowledge of simulation experts. Our ENVITED academy Certificate Course "Simulation of Automated Vehicles" will provide you with a comprehensive overview and cross-disciplinary context of a data-driven simulation process for the virtual development and validation of automated vehicles. 

Our certificate course takes an application-oriented look at the requirements of current and future data-driven simulation processes. In the context of virtual 3D worlds, technologies from data acquisition to processing, analysis and quality assessment will be presented. Participants will gain insight about different sensor types as well as methods for sensor fusion, integration, modeling, simulation, validation and artificial intelligence approaches. On the way to the simulation of Advanced Driver Assistance Systems (ADAS) and their driving functions, basics of scenario description, traffic flow and agent models are covered. The course builds on standardization projects such as ASAM OpenX and covers open source software approaches to simplify participants' entry into the field and community. Experienced lecturers from Science and Industry will teach approaches to co-simulation, credible simulation and virtual testing, as well as technologies for studies and experiments in the driving simulator environment. Distributed ledger technologies will be introduced to participants as one possible technology on the path to data traceability and trust for continuous proof of virtual validation. Take advantage of your opportunity for professional development and networking and join our community for an interactive and forward-looking online course.  

Certificate Course at a glance 


Diploma of Advanced Studies (Certificate Course)

Study Mode
part-time, online

Period of Study
9 months  (March - December), ~120 training hours

Study Organizations
Steinbeis Center for Management & Technlogy GmbH (issuer of certificate)  |   asc(s e.V. 

Language of Instructions

Examination Mode
one online case presentations per module (four total) + one written scientific / transfer work

Number of Participants
at least 10

Requirements for Admission
University entrance qualification or professional qualification

Study Fees
6.400 € + VAT for members of asc(s e.V.   |   8.000 € + VAT regular




Modules can also be booked individually (Certificate of participation: Diploma of Basic Studies)

Participation Fees per Module:  2.000 € + VAT for members of asc(s e.V.   |    2.400 € + VAT regular

Special Offer: book one certificate course (modules A-D) and distribute the individual modules to up to four different employees


Who should take part?


Our Certificate Course "Simulation of Automated Vehicles" is aimed at professionals and young experts in the automotive engineering industry, would like to qualify or extend their knowledge in the field of automated vehicle simulation & testing and/or link this domain into their work:

  • Beginners and cross-starters
  • Development and software engineers
  • Project leaders
  • Business developers
  • Employees in software and consulting companies

with focus on

  • Advanced Driver Assistance Systems (ADAS)
  • Automated and Autonomous Driving
  • Virtual Test / Test Fields
  • Vehicle Electronics
  • Mechatronics
  • Software Development
  • System Development
  • Product Development

The Certificate Course is a part-time 9 month course consist of the following four interactive online modules:

  • MODULE A: Overview & Virtual 3D Environments
  • MODULE B: Sensors
  • MODULE C: Scenarios & Driving Functions
  • MODULE D: Virtual Test & Certification

Each indivudual module consists of seven training units plus one case presentation unit (3-4 hours each).

Examination Mode
Every participant choose one case topic per module. Cases are small, application-oriented tasks which are provided by the lecturers. Cases are worked on alone or in a group and presented and discussed in a separate case presentation unit at the end of each module. In addition to the four case presentations, a written scientific paper must be prepared as a certificate of achievement. The topic can also be selected and can be an application-oriented, written transfer work for a task from your company. Cases and scientific paper / transfer work will be accepted by the lecturers.


MODULE A: Overview & Virtual 3D Environments

10 March 2022  |  9 a.m. - 12:30 p.m. CET 
Kick-off event
Participants + Module Lecturers

More details to follow.

10 March 2022  |  2 p.m. - 6 p.m. CET 
A1 - Overview Simulation Ecosystem
Lutz Morich
(Executive Board Member asc(s e.V.)

  • Three Reasons why the marekt entry of autonomous driving functions could fail
  • Something has changed …

Overview on Eco-System:
  • Sharing is caring
  • Roles and rersponsibilities
  • Network and traceability

Some hard and soft facts
  • Standardisation
  • Coopetition

  • The European perspective and competitors from Asia and the US The long and winding road to autonomous vehicles in real traffic

11 March 2022  |  2 p.m. - 6 p.m. CET 
A2 - Mobile Mapping & Data Processing
Marina Reiter, Dragana Tosic, Dr. Gunnar Gräfe

(3D Mapping Solutions GmbH)

Mobile Mapping
  • Mobile Mapping Technology and Systems
    • Position and Orientation Systems (IMU, GPS, Odometer)
    • Multi-Sensor-Systems
      • High-end surveying laser scanners
      • Photogrammetric cameras
      • Panoramic cameras
      • Radar and other Sensors
    • System Calibration
    • System Quality Control
    • System performance and accuracy certificate
  • Mapping of any kind of roads (Road networks, Race Tracks, proving grounds)
Data Processing
  • Post-processing and quality management (GPS !)
  • Scanner and image data processing
  • Homogenization
  • ASAM
  • Examples

24 March 2022  |  2 p.m. - 6 p.m. CET 
A3 - Data Analysis & HD Maps
Florian Günther, Dr. Gunnar Gräfe
(3D Mapping Solutions GmbH)

Data analysis
  • Objects & Signals
    • Object data catalogues
    • Object and signal attributes
    • Object data extraction
      • based on scanner point clouds
      • Photogrammetric signal measurements
  • Ultra HD Map
    • Result: as-built-plan
    • Road logic and topology
  • Exercise
    • RoadView 2 Signal classification
    • Road logic
  • 3D Visualization
  • Quality management and data quality certificates
  • Scenario extraction options and Road Data Collection
  • Application software examples

25 March 2022  |  2 p.m. - 6 p.m. CET 
A4 - City Models
Maximilian Sindram
(virtualcitysystems GmbH)

Urban Information Modeling
  • Virtual 3D City Models
  • CityGML motivation and overview
CityGML Details
  • Modeling of buildings, streets, terrain models, other objects
  • Multi-level modeling
  • Geometric-topological modelling
  • Spatio-semantic coherance
  • Surface properties
  • Implicit geometries
  • Extension mechanisms
CityGML applications from practice
  • Urban information hub
  • Urban simulation (environment and traffic)
CityGML and OpenDRIVE
  • Principals of ODR Standard
  • Differences in modeling paradigms
  • Model transformation

7 April 2022  |  2 p.m. - 6 p.m. CEST 
A5 - 3D Environments
Dr. Martin Obstbaum, Karl Schreiner 
(TWT GmbH)

  • Dynamic vs static (ground truth), Scene Maps vs Scenario
  • Buildings, Tress, Roads, etc..
  • Driving behaviour, maneuvers, pedstrians, bycicle, other traffic participants,...
Data & Formats
  • GIS Formats, OpenDRIVE, OpenSCENARIO
  • PBR and lighting
  • Sensor material definition, segmentation
Metainformation, Tags & Codes
  • Materials, Collision Volumes etc.
  • OSM attributes,…
Scene map features
  • Road generation
  • Traffic signals, markings, decals, road furniture,...
  • Bridges, tunnels, underpasses,…
  • Buildings, vegetation, waterways
  • Quality Parameters: poly-count, textures, LODs
  • Sensor Modelling rules
Target Platforms
  • Unreal Engine / Game engines, automotive platforms
Use-Cases & Corner Cases
  • Brake assistant / Lane assistant

8 April 2022  |  2 p.m. - 6 p.m. CEST 
A6 - Material Models / OpenMaterial
Dr. Ludwig Friedmann

OpenMaterial – Presentation

Simulation-based development and test of automated driving
  • Software architecture
  • File formats
  • Interfaces
Sensor simulation
  • Environment representation
  • Modeling
3D models and materials
  • Model structure
  • Rendering
  • Khronos glTF 2.0
  • OpenMaterial
OpenMaterial – Exercise
  • 3D model creation and rendering in Blender
  • Application of physical material properties
  • Physically based rendering using the OpenMaterial pathtracer

28 April 2022  |  2 p.m. - 5 p.m. CET 
A7 - Case Presentations & Discussion
Participants + Module Lecturers

More details to follow.

MODULE B: Sensors

29 April 2022  |  2 p.m. - 6 p.m. CEST 
B1 - Sensor Basics
Jürgen Wille
(FrontMod GmbH)

ADAS sensor technology
    Sensor types and there application
  • Ultrasonic sensors
  • Camera sensors
  • Radar sensors
  • LIDAR sensors
Sensor characteristic
  • Sensor parameter
  • Detection range
  • Strength and weakness
  • Environmental influence
ADAS architecture
  • Sensor calibration
  • Sensor data recording setup

12 May 2022  |  2 p.m. - 6 p.m. CEST 
B2: Sensor Fusion & Integration
Jürgen Wille
(FrontMod GmbH)

Sensor integration
  • Integration methods
  • Influence of mounting position
Sensor fusion
  • Architecture
  • Fusion stages
  • Plausibility Checks
  • Reliability
Beyond sensor fusion
  • Connected car concepts
  • Applications of automous driving

13 May 2022 |  2 p.m. - 6 p.m. CEST 
B3: Sensor Simulation
Jürgen Wille
(FrontMod GmbH)

Modeling platforms
  • Available tools
  • Simulation methods
Sensor representation & integration
  • Coordination systems
  • Mounting point
  • Modeling parameter
  • Environment modeling parameter
  • Detection Area
Sensor behaviour modeling
  • Functional
  • Phenomenological
  • Physical
Sensor data
  • Sensor processing chain
  • File formats
  • Interfaces
  • On-/Offline simulation
  • Co-simulation
  • Hardware-In-Loop (HIL)

2 June 2022  |  2 p.m. - 6 p.m. CEST 
B4: FMI + OSI Standard
Pierre Mai
(PMSF IT Consulting)

Introduction to the FMI Standard, History, Scope and Vision

  • Use & benefit in the simulation process
  • What is an FMU?
    • Contents and important concepts (FMU, Variables, Types, Kinds of FMUs, Multi-Platform, Additional Resources, ...)
  • FMI 3.0 - new extensions and directions
    • (vECU, SE, ...)
  • FMI in practice:
    • Tool-based FMU generation, Code-based FMU generation, FMU import
  • FMI in Context:
    • Related resources, Organisations and Standards (SSP, OSI/OSMP, SmartSE Rec, MA)

    Introduction to OSI
  • Use & benefit in (sensor) simulation process
  • OSI Data Layer
  • OSI Packaging Layer - OSMP
  • OSI in practice:
    • OSI-based Sensor Modeling & Simulation
  • OSI in Context:
    • Related Resources, Organisations and Standards (SSP, ASAM, OpenX)

    3 June 2022   |  2 p.m. - 6 p.m. CEST 
    B5: Sensor Model Validation
    Clemens Linnhoff, Philipp Rosenberger
    (TU Darmstadt - FZD, Persival GmbH)

    Holistic demonstration from requirements to sensor model uncertainty quantification:
    • Sensor effect ontology by Perception Sensor Collaborative Effect and Cause Tree (PerCollECT)
    • Requirements for sensor models by Cause, Effect and Phenomenon Relevance Analysis (CEPRA)
      • Requirements for the ODD description
      • Possible SUTs to be tested with sensor models
      • Sensor hard- and software to be modeled incl. interface description
    • Exemplary requirement list for lidar modeling
    • Implementation of an exemplary effect chain in a lidar sensor model
    • Model validation
      • Model calibration vs. validation
      • Experiment design
      • Isolated effect as visible in real sensor data
      • Replay-to-sim (Reference data as input)
    • Metrics for sample validation
    • Inter- / extrapolation of sample validation results for model application

    1st July  2022  |  2 p.m. - 6 p.m. CEST  
    B6: SiL Simulation (Component)
    Dr. Hardi Hungar
    (DLR e.V.)

    Defining the framework and illustration on sample cases

  • Methodological frame of SiL simulation
    • Simulation problem definition
      - Process step
      - Simulation task definition
  • - Simulation preparation
    • - Abstraction level (modeling level)
      - Simulation algorithmic
      - Tool requirements
  • Simulation setup
    • - Tool and model selection
      - Tool instantiation
  • Result evaluation
    • - Extraction of the contribution of the simulation

    24 June 2022  |  2 p.m. - 6 p.m. CEST 
    B7: Environmental Effect Modeling for Sensors Behavior Models in a Closed Loop Simulation
    Prof. Stefan-Alexander Schneider
    (HS Kempten)

    Setup of a Closed Loop Simulation for Motion Planing with

    • 1. Environmental Modeling
    • 2. Sensor Behaviour Models
    • 3. Object Detection
    • 4. Fusion
    • 5. Path Tracing
    on the basis of OSI, OpenDRIVE and OpenSCENARIO

    7 July 2022  |  2 p.m. - 6 p.m. CEST 
    B8: Case Presentations & Discussion
    Participants + Module Lecturers

    More details to follow.

    MODULE C: Scenarios & Driving Functions

    8 July 2022  |  2 p.m. - 6 p.m. CEST 
    C1 - Scenario Design
    Dr. Martin Fischer

    Scenario Definition

  • Terms
  • Scenario Layers

  • Scenario Description
  • Level of Detail
    • (abstract, functional, logical, concrete)
  • Description Languages
    • (Overview & intensive explanation of OpenSCENARIO)
    Scenario Examples

    Practice Session on Scenario Design

    Scenario Generation & Data Bases
  • Statistical Data
  • Recorded Data
  • Artificial Scenarios

  • Special Scenario Challenges
  • From Test Case to Scenario Description
  • Different Scenarios for diff. XIL simulations
  • Provoking dangerous/critical situations
  • Multi Human-in-the-Loop scenarios
  • 21 July 2022  |  2 p.m. - 6 p.m. CEST
    C2: Traffic Simulation / Agent Models
    Dr. Alexander Ahlert, Dr. Pascal Piecha
    IPG Automotive GmbH)

    • Use cases for Traffic Simulation & Agent Models across Automotive domains
    • Traffic simulation and agent models for ADAS/AD
    • Overview on traffic models
      • classification: macroscopic
    • Human driver models
    • AI based models & social forces
    • Simulation enviroment: Model interfaces (e.g. sensors, lanes...)
    Industry State-of-the-Art, Examples & Demos:
    • Traffic flow simulation
    • HDM
    • AI & neuroscientific based models
    • examples

    29 July 2022  |  2 p.m. - 6 p.m. CEST
    C3: ADAS Simulation
    Christopher Wiegand
    (dSpace GmbH)

    Introduction & Overview – ADAS/AD Systems Modelling aspects & terminology
    • What is the Operational Design Domain?
    • What is the Dynamic Driving Task?
    • What is a Scenario?
    Simulation Models, Simulators & System under test
    • System under Test: Requirements on simulations
    • Simulators: SIL, HIL & DIL
    • Simulation Models
    • Sensor Models (e.g. fidelity levels for Radar Lidar, Camera and Ultra Sonic Sensor)
    • Environment & Scenery
    • Scenarios
    • Traffic
    • Vehicle Dynamics
    Interfaces (e.g. FMU, OpenDrive, OpenScenario & OSI, Co-Simulations)

    How to make sure simulations provide reliable results and can be used for validation?

    15 September 2022  |  2 p.m. - 6 p.m. CEST
    C4: System Structure and Parameterization (SSP) Standard
    Peter Lobner
    (eXXcellent solutions GmbH)


    • Block introduction & agenda
    • Challenges in development of complex simulation systems
    • Challenges adressed by SSP
    Introduction to the SSP Standard, history, scope & vision

    SSP Walkthrough: Creating a SSP model from scratch alongside the simulation process to explore the SSP core principles & concepts

    SSP advanced principles & concepts

    Use in specific contexts, outlook & potentials (OSI connectors, SSP4Traceability, ...)

    16 September 2022  |  2 p.m. - 6 p.m. CEST
    C5 - Co-Simulation
    Dr. Martin Benedikt
    (Virtual Vehicle Resarch GmbH)

    Intro SystemSimulation

  • Complicated and complex Systems
  • System of Systems
  • Need for distributed, modular Simulation
  • Modular simulation within the VDP
  • Examples

  • Integration Challenges
  • Standards
    • (FMI, SSP, DCP, etc.)
    Numerical Integration
  • Methods
  • Examples

  • Co-Simulation Platform use by participants
  • FMU development and provision
  • FMU Integration
  • Co-Simulation configuration)
  • 29 September 2022  |  2 p.m. - 6 p.m. CEST
    C6: Credible Simulation
    Dr. Martin Benedikt
    (Virtual Vehicle Resarch GmbH)

    Virtual-enriched Development Process

  • Motivation for virtual testing
  • How is simulation used?

  • Credibility Definition
  • History and recent developments
  • Relation to Quality

  • Process and Artefact quality
  • History and related standards
    • (ISO, ASPICE, etc.)
  • Credible Simulation Process
  • Credible Assessment Framework

  • Credibility Argumentation
  • MBS representation for analysis
  • Application Example (ALKS)
  • 30 September 2022  |  2 p.m. - 6 p.m. CEST
    C7: AV Software
    Prof. Daniel Watzenig / Markus Schratter 
    (Virtual Vehicle Resarch GmbH)

    Automated Driving Software

  • System architecture overview
  • Different system levels
  • Automated Driving stacks
    • Commercial solutions
      Open-source solutions
    Demo Automated Driving SW stack
  • Introduction Autoware
  • Autoware running on a research vehicle
  • Demo 1: Lidar-based localization
  • Demo 2: Path planning
  • 13 October 2022  |  2 p.m. - 6 p.m. CEST
    C8: Case Presentations & Discussion 
    Participants + Module Lecturers

    More details to follow.

    MODULE D: Virtual Test & Certification

    14 October 2022  |  2 p.m. - 6 p.m. CEST 
    D1 - Automotive Test Strategies & Simulation-based V&V
    Jann-Eve Stavesand 
    (dSpace GmbH)

    General Overview of Test Strategies for the Safety Argumentation and Homologation of ADAS/AD
    • Terms and Definitions - to understand the lectures content
    • Automotive Industry Insights - Impact on Homologation
    • Data-driven Development Enables Autonomous Driving
    • Existing Standards and Current Research Activities
    • A Blueprint for New AD/ADAS Test Strategies
    • Use Cases Requirements Based Testing on Closed Loop HIL
      • Use Cases Requirements Based Test SIL
        • Use Cases Requirements Based Testing MIL
        • Use Cases Fault Injection on MIL
      • Use Cases Open Road Testing with a Scenario-based Approach
        • Use Cases Scenario-based Testing on Proving Grounds
        • Use Cases Hardware Reprocessing / Data Replay
        • Use Cases Vehicle in the Loop
        • Use Cases Driver in the Loop, Scenario-based
        • Use Cases Scenario-based SIL Closed Loop
    • Artificial Intelligence impacting testing
    • Possible new standards of testing

    27 October 2022  |  2 p.m. - 6 p.m. CEST
    D2: Driving Simulator Technologies I
    Dr. Jens Häcker 
    Simulation Systems Consulting)

    Introduction: digital validation/verification of chassis and assistance systems
    • Digital Development: SiL/HiL, Integration Human-Simulation: Driver-in-the-Loop
    • Application: MMI, vehicle handling and driver behavior, vehicle dynamics assessment and chassis development, vehicle safety, training

    Technical aspects of driving simulators
    • software framework/driving simulation: vehicle dynamics and models
    • road and environment, traffic simulation
    • scenario generation, databases
    • visual system, motion system, audio system and vibration
    • cabin and controls: steering simulation, pedals, UI

    Visual Systems
    • overview and historical development: flight simulation, first driving simulators
    • visual system processing, projector and screen, static and dynamic systems, performance, image generation software, tools and databases
    • projection, displays, cave, HMD
    • spatial perception: stereo systems, technical solutions, goals and limits

    Simulator motion systems and human perception
    • mapping of vehicle motion in a simulator
    • motion perception and vection
    • motion cueing algorithms for motion sim.
    • technical implementation and example syst.

    28 October 2022  |  2 p.m. - 6 p.m. CEST
    D3: Driving Simulator Technologies II
    Dr. Jens Häcker
    (Simulation Systems Consulting)

    Virtual Reality systems and applications

    Human in the control loop: Human Factors
    • immersion and presence
    • perceptual fidelity in the design of virtual environments
    • validity of simulator experiences, driving behavior/reaction/perception, perception of realism/hazard/risk
    • medical aspects: kinetosis and motion perception, physiological and psychological care, supervision of test persons
    • ethical aspects: test person as a “guinea pig”, high risk situations, accidents, ethical review committee

    Methodology: design of simulator experiments
    • conceptual design of a driving simulator experiment:objective (goal and limits), experimental setup, „customer vs. experimenter“
    • selection criteria for test participants
    • data acquisition: subjective vs. objective data, evaluation criteria, measurements, questionnaires, video
    • statistics: sample size, sample distribution, demographic aspects, evaluation and interpretation
    • experimenter: qualification, training, „researcher bias“, emergency training, after care
    • testing and preliminary experiment

    Scope of Simulator studies and example applications
    • driving simulator experiments for chassis development and vehicle handling/comfort
    • evaluation of assistance systems
    • case-studies for autonomous driving

    10 November 2022  |  2 p.m. - 6 p.m. CET
    D4: Test vs. Simulation 
    Dr. Hardi Hungar
    (DLR e.V.)

    • Simulation validity issues
    • Methodological approach to
      simulation validation
    • Example instantiation of simulation validation
    • Deriuving assertions from combined test and simulation (contributed evidence)

    11 November 2022   |   2 p.m. - 6 p.m. CET
    D5 - Functional Safety
    Dr. Hardi Hungar
    (DLR e.V.)

    Defintion of "Safety Case"
    • Purpose
    • Relation to relevant standards
    • Important terms and concepts
    Structure of a safety case Constituents
    • arguments and factual evidence
    Safety Case example sketch

    Relation to develoment activities

    24 November 2022  |  2 p.m. - 6 p.m. CET
    D6: Distributed Ledger Technologies I
    Carlo van Driesten (BMW AG)
    Prof. Florian Matthes (TUM)

    DLT as process facilitator
    • DLT for data-driven, simulation-based development (identity management, logging)
    • automation of testframeworks
    • state of the art
    • remaining/inherent challenges

    25 November 2022  |  2 p.m. - 6 p.m. CET
    D7: Distributed Ledger Technologies II
    Carlo van Driesten (BMW AG)
    Prof. Florian Matthes (TUM)

    DLT on more technical level
    • blockchain basics: consensus, safety assumptions, attack vectors, p2p networks, core concepts
    • public vs permissioned ledgers
    • smart contracts: language design, safety concepts and token standards
    • change management process: governing and upgrading decentralized and distributed systems
    • utilizing economies of scale and network effects of shared and open source resources
    • example projects: knowledge and application transfer to the automotive domain

    09 December 2022  |  2 p.m. - 6 p.m. CET
    D8: Case Presentations & Discussion 
    Participants + Module Lecturers

    More details to follow.

    An on-site final event at a driving simulator facility is planned for December 2022. More information to follow.


    • Individual modules can be booked separately. Degree: Diploma of Basic Studies.
    • All live modules take place online via Zoom.

    Benefit from the extensive and application-oriented expertise of our lecturers from business and science:


    Lutz Morich  (Executive Board Member asc(s e.V.)

    Lutz Morich studied mechanical engineering at RWTH Aachen University and began his professional career as a trainee in technical development at AUDI AG. 16 years of experience in managing projects and organizational units in management positions. Since 2017 he has been responsible for "Processes, Methods and Tools of the Virtual Disciplinary Environment" and several R&D projects with cooperation partners from industry, science and municipalities that deal with interdisciplinary and technical questions of automated traffic.

    Training unit: A1 - Overview Ecosystem


    Gunnar Gräfe (3D Mapping Solutions GmbH)

    As founder of 3D Mapping Solutions, Dr.-Ing. Gunnar Gräfe focuses on the research & development of multi-sensor mobile mapping systems equipped with positioning technology, calibrated cameras and high-resolution laser scanners and the software applications to process and analyze the acquired data. Key areas are kinematic measurements of all types of traffic networks, provision of reference information for advanced driver assistance systems and developing of basic data for driving simulator applications. Gunnar Gräfe studied Geodesy at the University of Federal Armed Forces (FAF) Munich. After working as scientific assistant and teaching officer at the University FAF/ Munich, he founded Mobile Mapping S&S GmbH. In 2007, this led to the formation of 3D Mapping Solutions GmbH, where he has been Managing Director since then.

     Training units:  A2 - Mobile Mapping & Data Processing   |   A3 Data Analysis and HD Maps


    Marina Reiter (3D Mapping Solutions GmbH)

    Marina Reiter is working as a geodetic engineer at 3D Mapping Solutions GmbH since 2019. She received her B.Sc. degree in geography at the LMU Munich. While studying at the University of Würzburg she graduated as M.Sc. in remote sensing analysing the distribution of urban green areas in the 80 biggest cities in Germany. At the department of Geodetic Analytics, she is involved in pre- and postprocessing LIDAR data and creating surface models for worldwide automotive companies.

     Training units:  A2 - Mobile Mapping & Data Processing 


    Dragana Tosic (3D Mapping Solutions GmbH)

    After receiving her M.Sc. degree in 2019 at the Technical University of Munich in the field of Mobile Mapping data classification Dragana Tosic continued her path in this area as a project engineer in the Geodetic Analytics department at 3D Mapping Solutions. Some of the areas she is active in at this position are determination and correction of vehicle trajectories, system calibration, highly precise data homogenisation, preparation of precise 3D plans and terrain models for various purposes and different formats, as well as data quality management.

     Training units:  A2 - Mobile Mapping & Data Processing 


    Florian Günther (3D Mapping Solutions GmbH)

    Florian Günther is a project leader and training manager in the field of high-precision and high-resolution mapping of road networks at 3D Mapping Solutions GmbH since 2018. He studied Business Administration and Cartography|Geomedia at the University of Applied Sciences Munich. He graduated as B.Sc. in the field of computer animation and 3-dimensional LiDAR surveys about Bibracte at the European Archaeological Center, France. Since then, he was involved in data analysis and processing HD maps for worldwide automotive industry and research driven use-cases. At the department of HD Maps his current focus is on providing user-specific cases in advanced ADAS or test and validation applications for autonomous driving, such as the combination and integration of different formats like OpenDRIVE, GIS and 3d Modelling.

     Training units:  A3 - Data Analysis & HD Maps


    Maximilian Sindram (virtualcitysystems GmbH)

    In his position as business development manager at virtual city systems, Maximilian Sindram focuses on spatial and semantic modeling, analysis, and visualization of 2D and 3D geodata. Key areas are urban information modelling, urban simulation, and smart cities. Maximilian Sindram studied geography at the Ludwig-Maximilians-University in Munich. After his studies he worked as a junior researcher at the ifo Institute in Munich on research related topics to GIS in economics before leaving in 2012 to join the Chair of Geoinformatics at TU Munich. Since January 2018 he has been working as Business Development Manager at virtual city systems. As a lecturer at TU Munich, he has been awarded the faculty's teaching prize several times. In addition to his professional tasks, Maximilian Sindram is involved in professional associations and standardization committees. Among others, his contribution to the modeling of the OpenDRIVE standard in ASAM e.V. and his profound knowledge of the OGC standard CityGML are worth mentioning.

     Training units:  A4 - City Models


    Dr. Martin Obstbaum (TWT GmbH)

    Martin Obstbaum has studied physics at the university of Regensburg and holds a PhD from the institute of experimental and applied physics of the university of Regensburg. As head of systems engineering & computer graphics at TWT GmbH Science & Innovation Dr. Obstbaum explores together with his team the systematic design of virtual testing architectures and simulation technologies. In order to bring autonomous driving into a safe operating future on our streets one focus of topics is to simulate the decisions of autonomous cars based on sensors and perception algorithms using modern Computer Graphics Engines like UNREAL to generate photo- and phyisics-realistic 3D simulation environements. To this end continuous research of 3D computer graphics technologies and innovative algorithms as well as the integration of different data and information models is conducted.

     Training units:  A5 - 3D Environments


    Karl Schreiner (TWT GmbH)

    Studied applied informatics and working now for about 4 years at TWT as a software developer in the field of autonomous driving and virtual validation of driver assistance systems. Areas of activity range from complex environment creation to software and hardware-in-the-loop testing and sensor simulation using virtual environments. Responsible as the product owner and part of the development of the tool Tronis®, that is based on the open source gaming engine Unreal Engine which paves the way towards a realistic environment, vehicle and driversimulation.

     Training units:  A5 - 3D Environments


    Dr. Ludwig Friedmann (BMW AG)

    Since 2018: Solution Architect Simulation Autonomous Driving (BMW Group)

    • Simulation architecture, 3D models and materials
    • Distributed simulation frameworks
    • Standardization

    2016-2018: Product Manager Software Development Tools/Methods (Audi AG)

    • Simulation @ Autonomous Intelligent Driving GmbH
    • Distributed simulation software
    • Virtual environment and 3D models

    2010-2016: Research Associate/PhD Candidate (TUM)

    • Flight simulation software
    • Real-time simulation of rotorcraft downwash
    • Multi-channel rendering

     Training units:  A6 - Material Models - OpenMaterial


    Jürgen Wille  (FrontMod GmbH)

    Jürgen Wille studied precision engineering at FH Ulm and information technology at the University of Paderborn. He began his professional career as research associate at TU Berlin and the Fraunhofer Institute IZM. He joined Valeo GmbH in 2001 and worked in the field of hardware design and simulation methods over 17 years. Since 2006, he has been involved in the field of perception sensor model development and EMC verification. His focus was lying on ultrasonic and radar sensors and optimisation of sensor mounting positions inside virtual car models. He was involved in the European project "ENABLE-S3" and build up several sensor HIL tester to enable autonomous parking. Jürgen founded FrontMod GmbH in 2018. FrontMod is member of the ASC-S and develops sensor models for OSI standard.

     Training units:  B1 - Sensor Basics   |   B2 - Sensor Fusion & Integration   |   B3 - Sensor Simulation


    Pierre R. Mai ( PMSF IT Consulting)

    As the founder and owner of PMSF IT Consulting focuses on the intersection between system development and simulation. One key area in the past decade has been the development and standardization of simulation and model interfaces for use in the automotive industry development processes. In this vein Pierre R. Mai is a member of the Modelica Association FMI and SSP, as well as founding member of the ASAM OSI and OpenSCENARIO standardization projects. In the past he coordinated the establishment of the ASAM Simulation Area and the transfer of the OpenX standards to ASAM in an interim capacity. Pierre R. Mai studied computer science at the Technical University Berlin with a focus on programming language design, implementation and constraint systems receiving his degree in 2002. Since then he has founded and lead a number of businesses in the simulation and technology domain, with a broad industrial and automotive customer base.

     Training units:  B4 - FMI + OSI


    Clemens Linnhoff (TU Darmstadt - FZD, Persival GmbH)

    Clemens Linnhoff received the B.Sc. and M.Sc. degrees in mechatronics from the Technical University of Darmstadt in 2016 and 2018 respectively. Since 2019, he has been working as Research Associate and PhD Candidate with the Institute of Automotive Engineering at the Technical University of Darmstadt, under the lead of Prof. Dr. rer. nat. Hermann Winner. Currently, he is involved in the German projects "SET Level" and "Verification & Validation Methods" in the field of perception sensor model development and model verification. His research is focused on the simulation of environmental influences on perception sensors, with special interest on radar and lidar simulation. Together with his research group at TUDa FZD, he established the PerCollECT initiative ( to collect and provide perception sensor cause effect chains in a tree-shaped ontology. Furthermore, the research group provides open source perception sensor models within a unified FMI/OSI model framework under

     Training units:  B5 - Sensor Model Validation


    Philipp Rosenberger (TU Darmstadt - FZD, Persival GmbH)

    Philipp Rosenberger received his B.Sc. and M.Sc. degrees in mechatronics from the Technical University of Darmstadt in 2013 and 2016 respectively. Since 2016, he has been working as Research Associate and PhD Candidate with the Institute of Automotive Engineering at Technical University of Darmstadt, under the lead of Prof. Dr. rer. nat. Hermann Winner. He was leading the work package for simulation and stimuli within the European project "ENABLE-S3" and was responsible for the sensor model development and validation within the German project "PEGASUS". Currently, he is involved in the German projects "SET Level" and "Verification & Validation Methods" to continue his work on model development and validation. His research is focused right now on the methodology for perception sensor model validation, with special interest on experiment design and fidelity criteria for the models. Besides, he is a founding member and part of the Change Control Board of the ASAM OSI standard. Together with his research group at TUDa FZD, he established the PerCollECT initiative ( to collect and provide perception sensor cause effect chains in a tree-shaped ontology. Furthermore, the research group provides open source perception sensor models within a unified FMI/OSI model framework under

     Training units:  B5 - Sensor Model Validation


    Dr. Hardi Hungar (DLR - Institute of Transportation Systems)

    Hardi Hungar received a PhD in computer science from the Christian Alberechts University in Kiel, and has the venia legendi (habilitation) at the Carl-von-Ossietzky University Oldenburg. For many years, he has worked on methods and tools for the development of dependable and safety-critical systems. These concerned mainly applications in the transportation domain. He has held various positions in academia, research and industry. In his current position, he leads the team on "Processes and Methods for Verification and Validation" at the Institute of Transportation System, which is one of the institutes of the German Aerospace Center (DLR). He is currently working mainly on methods for the verification and validation of highly automated vehicles. His focus areas include concepts and languages for defining test scenarios, algorithms and tools to perform exhaustive virtual tests, standard-conformant development, and safety argumentations.

     Training units:  B6 - SiL Simulation  |  D4 Test vs. Simulation  |  D5 Functional Safety 


    Dr. Stefan-Alexander Schneider (HS Kempten)

    Current position:

    • Sponsored Professor from continental ADC at University of Applied Sciences for Advanced Driver
    • Assistance Systems
    • Visiting Professor at Shibaura Institute of Technologies, Tokyo, Japan
      Head of Master Course Advanced Driver Assistance Systems


    Professional experience:

    • BMW AG: Development, Numerical Simulation, Method Referend for Process, Method and Tool for Functional and Software Development for Modeling Multi-domain Physical Systems, in particular with the programming language Modelica, Functional Co-Simulation of Multi-Disciplinary Applications, Development and Qualification of the Method VASE for Safety-relevant Software Development, Modeling Standards and Manuals, BMW-Training Coach for Model-Based Software Development
    • Axxom Software AG: Senior System Analyst, Customized Consulting and Solution Implementation, Design and Development of Mathematical Optimization Methods
    • Infineon Technologies AG: Development Engineer, Field Memory Products, Department of Advanced Technology Software, Support of Development Departments through Project-specific Customization and Support of Commercial Software Programs
    • Educational background: Promotion, Technical University of Munich, Department of Scientific Computing, Adaptive Soluction of Elliptic Partial Differential Equations by Hierarchical Tensor Product Finite Elements, Dr. rer. nat., applied and computational mathematics for ordinary and partial differential equations and fluid mechanics
    •  Diploma, Mathematics and Physics, Technical University of Munich

    Training units: B7 - Environmental Effect Modeling for Sensors Behavior Models in a Closed Loop Simulation


    Dr. Martin Fischer (DLR - Institute of Transportation Systems)

    Dr. Martin Fischer studied Electrical Engineering at the Hanover University and got his degree in 2003. In 2009 he graduated as Dr.-Ing. at the University of Braunschweig with his work on “Motion-cueing algorithms for moving-based simulators”. He works for the German Aerospace Centre - Institute of Transportation Systems as a researcher and he is leading the group “Human-Centered Simulation” in the department “Validation and Verification”. His research focuses on human-in-the-loop simulation methods and technologies.

     Training units:  C1 - Scenario Design


    Dr. Alexander Ahlert (IPG Automotive GmbH)

    Alexander Ahlert received the M.Sc. degree in mechanical engineering from the Karlsruhe Institute of Technology in 2015. Afterwards he graduated as Dr.-Ing. at the Institute of Automotive Engineering Stuttgart at the University of Stuttgart in the field of vehicle dynamics, multi-body systems and control theory. At Porsche Engineering he was a systems engineer and effect chain responsible for predictive control driving functions and motion planning algorithms. Since 2020 he joined IPG Automotive GmbH as Branch Manager Stuttgart. He leads different teams in the areas of Test Systems and Engineering, Technical Support and Sales. His main interest and focus is on the topic of democratization of simulation and virtual test driving throughout the vehicle development process. Besides, he is a lecturer for vehicle technology at the Technical Academy Esslingen (TAE).

    Training units: C2 - Traffic Simulation / Agent Models


    Dr. Pascal Piecha (IPG Automotive GmbH)

    Pascal Piecha is Global Education & University Program Manager at IPG Automotive GmbH and works on Research and Development topics regarding simulation and virtual test driving together with Universities, Research Institutes and Students world-wide. He studied mechanical engineering with the focus on powertrain development at the Karlsruhe Institute of Technology (KIT) and received his M.Sc. in 2014. Working as a research assistant on the ECO-Powerdrive2 FFG project and covering the sustainable development of smaller powertrain systems (hand-held power-tools, motorcycles and more), he graduated as a Ph.D. in Technical Science from Graz University of Technology in 2019.

    Training units: C2 - Traffic Simulation / Agent Models


    Christopher Wiegand (dSpace GmbH)

    Christopher Wiegand is Strategic Product Manager at dSPACE GmbH, where he is responsible for the business fields Modelling & Simulation and Scenario Generation & Library. He studied electrical engineering and received his Dipl.-Ing. degree from the University of Paderborn in 2007. He joined the Fraunhofer Institute and Sensor Technology Group of the University of Paderborn as a research engineer and received a doctor’s degree in electrical engineering in 2012. 

     Training units: C3 - ADAS Simulation


    Peter Lobner (eXXcellent solutions GmbH)

    Peter Lobner studied Computer Science at the University Ulm and graduated as Dipl. Inf. in 2011. He then started his career as a software engineer at eXXcellent solutions GmbH and has gained experience in the development of complex software solutions in different industry sectors like E-Learning, Energy and Automotive over more than 10 years. He is currently working as software architect and project manager in different projects. One is orchideo | easySSP, a cloud based model editor and simulator for the System Structure & Parameterization (SSP) Standard of the Modelica Association. Moreover, he is a member of Modelica's SSP working group and actively participating in evolving the standard further. His interests are focused mainly on the creation of innovative & collaborative SaaS solutions and agile leadership.

     Training units:  C4 - System Structure and Parameterization (SSP) Standard


    Dr. Martin Benedikt  (Virtual Vehicle Resarch GmbH)

    Description to follow

     Training units:  C5 - Co-Simulation  |  C6 - Credible Simulation 


    Prof. Dr. Daniel Watzenig  (Virtual Vehicle Resarch GmbH)

    Daniel Watzenig received his M.Sc. degree in Electrical Engineering and the Ph.D. degree in Technical Science from Graz University of Technology, Austria, in 2002 and 2006, respectively. In 2009 he received the Venia Docendi (habilitation) for Electrical Measurement and Signal Processing. Since 2006 he has been Divisional Director and Scientific Head of the Automotive Electronics and Software Department of the Virtual Vehicle Research GmbH in Graz. In 2017 he has been appointed as Full Professor of Autonomous Driving at the Institute of Automation and Control, Graz University of Technology, Austria. He is founder and a team leader of the Autonomous Racing Graz Team, one of currently six teams of the global race series (Roborace). His research interests focus on sense & control of automated vehicles, signal processing, multi-sensor data fusion, uncertainty estimation and quantification, and robust optimization. He is author or co-author of over 200 peer-reviewed papers, book chapters, patents, and articles.

     Training units:  C7 - AV Software


    Markus Schratter  (Virtual Vehicle Resarch GmbH)

    Markus Schratter is a researcher in the field of automated driving. He studied Information and Computer Engineering at Graz University of Technology. In 2011, he joined Virtual Vehicle Research GmbH and was involved in different research projects. His main task is the development and integration of concepts into test vehicles. Currently, he writes his PhD thesis with the subject: How technology for highly automated driving can be used to improve active safety systems. In 2019, he joined Autonomous Racing Graz as technical lead and is in the racing team responsible for the architecture of the software stack and the integration of the different subsystems. His research interests are related to automated driving, robotics, sensors and the integration of complex/reliable systems.

     Training units:  C7 - AV Software


    Jann-Eve Stavesand (dSpace GmbH)

    Jann-Eve Stavesand heads dSPACE Consulting and supports customers worldwide on defining test strategies for complex E/E systems and on overcoming challenges in model-based development of safety-critical systems. He was involved in the development of ISO 26262:2018 with a focus on software and processes and is currently involved in the standardization of Safety Of The Intended Functionality (SOTIF). Here, too, the focus is on testing and quality assurance of the software and systems used, including the approval and homologation of these complex functions.

     Training units:  D1 - Automotive Test Strategies & Simulation-based V&V


    Dr. Jens Häcker (Simulation Systems Consulting)

    Jens Haecker studied aerospace engineering and received his Dr.-Ing. degree from the University of Stuttgart in 2006. He joined Daimler AG in general research and advanced engineering and worked in simulation and testing of active chassis and steering systems and functional interfaces for autonomous driving. For the Daimler driving simulator at the Mercedes-Benz Technology Center he was responsible for mechatronics and further development of the motion platform and algorithms and represented Daimler as a member of the scientific committee of the Driving Simulation Association. He is a lecturer for control theory and simulation technologies in mechatronics at the Baden-Wuerttemberg Cooperative State University Stuttgart at Campus Horb. As founder of Simulation Systems Consulting he currently works as an engineering consultant providing services for specification and analysis of simulator systems, with special focus on technical and experimental aspects of human-in-the-loop simulation.

    Training units: D2 and D3 - Driving Simulator Technologies I +II - Experiments / Studies


    Carlo van Driesten  (BMW AG)

    Carlo van Driesten graduated from TU München with an M.Sc. in Electrical Engineering and Information Technology. He researched in the field of Radar Clutter Simulation at Rohde & Schwarz for hardware in the loop testing of ship radars before he joined BMW in the field of automated driving in 2016. As Systems Architect for Virtual Test & Validation he is focused on international standardization of simulation interfaces, data structures and open architectures for the purpose of virtually enhanced homologation processes. He initiated the OpenX Simulation Standards at ASAM e.V., authored the initial version of the ASAM Open Simulation Interface (OSI) and is mentor of the ENVITED Research Cluster at asc(s e.V. pursuing the goal of creating decentralized data markets for simulations. In 2018 he co-founded vDL Digital Ventures with StakeNow as the largest German staking service for Tezos which brought his greatest passions together: Automated driving and distributed ledger technologies.

     Training units:  D6 / D7 - Distribited Ledger Technologies


    Prof. Dr. Florian Matthes  (Technical University of Munich - TUM)

    Since 2002 Florian Matthes holds the chair for Software Engineering for Business Information Systems at Technische Universität München. The current focus of his work is on blockchain-based system engineering, the semantic analysis of legal texts, and privacy-preserving data and service management. He is co-founder of CoreMedia, infoAsset and Tr8cy, co-founder and chair of Blockchain Bayern e.V. scientifc advisor of Noumena Digital, member of the advisory board of the Ernst Denert-Stiftung für Software Engineering, and initiator and organizer of international conferences and workshops in software and enterprise engineering.

     Training units:  D6 / D7 - Distributed Ledger Technologies

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    Your Contact Person

    Dipl.-Ing. Alexander F. Walser
    Automotive Solution Center for Simulation e.V. 
    +49 711 699 659 - 0