Lunchtime workshop presented by Volkswagen Commercial Vehicles

This workshop is accessible to conference delegates only. Purchase your pass here

Conference Program

Demonstrating safety & validating and homologating automated driving systems for the deployment of level 2+ technologies and beyond.
09:00 - 12:30


The SAM (Safety and Acceptability of Driving and Self-Driving Mobility) research project: results and perspectives.

Dr Emmanuel Arnoux
Automated Driving Safety & Validation Working Group co-leader


Regulations and Consumer testing requirements in EU for ADAS and AD and compared to the rest of the world

Andres Aparicio
Head, ADAS and Connected and Automated Vehicles


The L2+ Safety stakes for engineering

Luc Bourgeois
President AD/ADAS Expert Community



Dr Benazouz Bradai
Master Expert - Autonomous Driving Innovation Platform Manager


Omniverse and GenAI to accelerate the development and validation of ADAS systems

Oussama Ben Moussa
Head/CTO Autonomous Mobility


Mastering the complexity of automated driving in projects beyond L2 with scenario-based testing paving the way to virtual homologation.

Dr Heiko Scharke
Global Product Manager
AVL List GmbH
Hannes Schneider
Lead Engineer ADAS/AD Scenario based Verification


From Digital vehicle to Virtual twin to Immersive virtual twin

Didier Wautier
General Manager: Synthesis and immersive simulation
The digitalization of Renault Group is not new, but it is intensifying as the company transforms itself into a "Tech Company". This is essential to keep pace with the growing technological complexity of vehicles, the ever-increasing number of technical and regulatory requirements, and the continuous improvement of existing and future vehicles in a connected world. In recent years, the tools available to Design and Engineering have become so advanced that virtual reality has overtaken physical reality. The digital twin exists before the vehicle itself, and evolves throughout the design process, without forgetting to include the customer in the design loop. Depending on the stage of the project, we speak of digital vehicles, digital twin and immersive digital twin. Their fields of application range from design and development to tuning and homologation.


Ground truth: a full-scale tunnel (V2X, cameras, lidar, etc.) to validate and simulate automated driving systems

Pierre Delaigue
Director - Connected, Autonomous, Electric Mobility Projects


Summary and further discussion

Marc Pajon

Room1 Developments, issues & innovations
09:00 - 12:30


The UK's approach to connected and automated mobility (CAM)

Michael Talbot
Deputy Head
CCAV (UK Government's Centre for Connected and Autonomous Vehicles)



Dalia Broggi
Project Manager
European Commission


Implementing Operational Design Domain for Real-World Operation

Dr Andreas Richter
Engineering Program Manager - Operational Design Domains
Volkswagen Commercial Vehicles
The concept of Operational Design Domain (ODD) is discussed in research and industry since some years but real-world applications beyond testing are not yet on the road. Regulations will demand to get a comprehensive ODD description for type approval as well as service area approval. Today’s ODD definitions are very generic and deliver only few insights about the boundary conditions. This leads to additional efforts for explanation and showing (scenario-based) test results. Additionally, the argumentation of the completeness of the tests gets complicated. Having a technically precise but still human and machine-readable ODD definition could bridge this gap.


Deploying a safe and trustworthy AV in different markets

Vivetha Natterjee
Autonomous vehicle safety specialist
Now that we have removed the human from the vehicle has the AV become safer in traffic? No. We have removed the human and not the human element. But wait, is removing the human the solution? No. In fact the opposite is true, more the merrier. In Vivetha's multi-pillared approach to continuously improve and deploy safe and trustworthy autonomous vehicles, 'inclusion is key'. Data, verification and personas need to be weighed equally. Humans in our different roles (as engineers, as drivers, as traffic inspectors etc.) are to be modelled using AI in order to understand and prove safety of AV.


Leashing AI: On Challenges and Solutions in Autonomous Vehicle Safety Assurance

Ali Nouri
Senior system safety engineer in autonomous driving
Volvo Cars
Safe behavior of autonomous vehicles needs to be assured before being deployed on public roads and maintained safely during the operation phase. This presentation will delve into the following key aspects: 1. Autonomous Vehicle Safety Assurance and SafetyOps approach 2. Challenges toward Rapid SafetyOps, exemplified by System Theoretic Process Analysis (STPA) 3. Generative AI and Large Language Models as a Potential Solution

Room 2 Software AI & Architecture
09:00 - 12:30


SDV and vehicle motion management

Dirk Bangel
Chief expert
Robert Bosch
The presentation will show how vehicle motion management, a software system solution from Bosch for the complete vehicle motion domain, helps to drive the transformation toward software-defined mobility through multi-actuator control, a modular and scalable software architecture that simplifies the separation of hardware and software, centralized computing and standardized interfaces.


Chasing Milliseconds: How we optimized in-vehicle OS boot time

Dustin Black
Senior Principal Performance Engineer
Red Hat
Join us for a technical journey through some of the challenges of adapting a general-purpose Linux OS to an embedded automotive use case with strict regulatory and safety requirements. Extra seconds of boot time are hardly noticeable or impactful for servers with hundreds of days of uptime, but for a platform rebooted many times in a day and that must provide user interaction in seconds from power on for safety reasons, suddenly every CPU cycle is under the microscope.


How generative AI will transform ADAS/AD

Gabriel Sallah
ADAS/AD Lead Architect
United Arab Emirates


Accelerate AV development with data-driven automotive AI

Frank Kraemer
Systems architect
IBM Germany
Developing AVs is a time-intensive and complex process that requires best-in-class data and AI training infrastructure. Companies developing software-defined vehicles need to accelerate time-to-market and minimize costs without sacrificing safety. Combining vehicle sensors, map data, telematics and navigation guidance using machine learning and data fusion techniques, data-driven development is not without its challenges. One of the biggest challenges is data collection and integrity, as data needs to be collected accurately and consistently to drive accurate decisions.


Ensuring vehicle software quality in an autonomous and V2X ecosystem

Nishant Khadria
Modern vehicles are no less than 'smartphones on wheels'. The huge growth in in-vehicle functionalities demands increased and continuous connectivity while regulatory requirements mandate extensive testing and cybersecurity. The situation is intensified by ecosystem partners ranging from 'steel to software' and 'simulation to street'. As the cost ratio of software to whole vehicle rises, efficient 'software quality' becomes crucial to manage costs, win market share and achieve early compliance. The presentation proposes a process- and product-based software quality framework in an autonomous and V2X environment through qualitative measurement of customizable KPIs through assessments and tests.



Dan Cauchy
Executive Director
Automotive Grade Linux


Journey toward software-defined connected and autonomous vehicles (SDCAV)

Plato Pathrose
CTO and technical director ADAS and automated driving
Vinfast Germany
The presentation will discuss the roadmap toward software-defined vehicles. What does a software-defined connected and autonomous vehicle look like and what are the requirements to design and deploy those vehicles? It will also cover the requirements and design considerations that are taken into account for vehicle architecture and various vehicle components. The change in approaches to the development, testing and production of the vehicles will be discussed. The drastic migration toward utilizing new technologies for the service and maintenance phase planned for such vehicles will be discussed.


Scalable software development addressing different levels of autonomy

Georg Kuschk
Director of Perception
Common software architecture for different autonomy levels; How the development and deployment of products at different autonomy levels benefit each other; Examples and lessons learned from Plus’s deployments in Europe, U.S., and Australia.


What’s ahead for ADAS computing?

Guilherme Marshall
Director, ADAS GTM
Most computational capabilities that will power vehicles starting production in 4-5 years have already been designed in. For a fast-moving software function such as automated driving, this is massive challenge. Thus, in the absence of a crystal ball, Arm builds on close collaborations with leading automotive OEMs and suppliers to define next-generation compute platforms. In this presentation we discuss their challenges and how upcoming technologies will help enable more efficient ADAS/AD software innovation.

12:00 - 12:30


When ODD meets OpenSCENARIO 2.0 – safety-driven validation

Gil Amid
Chief regulatory affairs officer
The presentation modeling of ODD ( operational design domain) in ASAM OpenSCENARIO® DSL 2.0, and incorporating it into safety-driven validation. The presentation demonstrates the interaction between scenarios and ODD during virtual testing. Special Attention will be given to the challenges of modeling ODDs and validating correct behavior of the ADS within an ODD.

00:00 - 00:00

How to ensure scenarios and ODDs are used together correctly to guarantee state of the art safety.

Vincent Abadie
Senior Fellow ADAS and Autonomous Driving
Eric Vaillant
Expert leader testing & measurement technology
Dr Andreas Richter
Engineering Program Manager - Operational Design Domains
Volkswagen Commercial Vehicles


Deploying autonomous vehicles – Holo's experience

Christian Bering
Holo is an integrator and operator of autonomous vehicles. It handles applications, training of staff, implementation and supervision of autonomous projects. Holo is currently the driving force behind the leading autonomous project in Europe: the deployment of vehicles using Mobileye’s autonomous software in the Grorud area in Oslo, Norway. The company has deployed more autonomous projects in Scandinavia than any other company. Our experience ensures safe operations that constantly push autonomous technology to its limit and systematically collect data to make improvements in customer experience, stability and autonomous performance.


Quantifying AV Sensor performance during Adverse Weather Conditions

Andre Burgess
Assured Autonomy Progamme lead
National Physical Laboratory
NPL and Met Office have been undertaking a project funded by UK DfT to develop the methodological framework required to reliably evaluate how well automotive sensors used within self-driving vehicles perform in different weather-related conditions. When developed, this framework will be used to allow for the testing of AV sensors as part of the assurance process as well as aiding in the safety assurance process to determine the limits of which these vehicles may operate in (Operational Design Domains). This talk considers what is required to demonstrate performance of CAV sensors to support system developers, regulatory approval, and authorisation processes.


Agile scenario alteration: a framework to accelerate automated vehicle testing

Nils Katzorke
Project coordinator
Mercedes-Benz AG


Evolving PG for the development and validation of AD in different ODDs

Dr Sebastian Siegl
Function Verification & Validation Strategy Responsable Automated Driving Functions
Uwe Burckhardt
Head of DEKRA Lausitzring
Autonomous driving poses a new challenge to the design of proving grounds, as autonomous driving functions evaluate with extensive sensor technology not only the road surface and driving dynamics parameters, but also the environment to enable operational design domain specific features. As a consequence, for function testing under public road conditions, the proving ground tracks and environment must reflect the conditions found on public roads in different ODDs. Another important feature is the enablement of various dynamic scenarios on the test track. Dynamic swarm-based scenarios must be executable reproducable and safe. For doing this, connectivity and communication infrastructure of the participants is needed. This presentation gives insight into the track design, infrastructure, communication and equipment requirements and also solutions for a new type of proving ground for the development and validation of autonomous driving.


Accelerating the safe deployment of autonomous trucks

Dr Maximilian Köper
Senior engineering manager
Torc Robotics
Dr Holger Banzhaf
Managing Director
DeepScenario GmbH
Deploying safe autonomous trucks requires a deep understanding of real-world driving. A key part of this process is the collection and analysis of traffic data to derive requirements, test cases and statistical distributions for safety validation. In this joint presentation, we give insights into DeepScenario’s collaboration with Torc Robotics to accelerate the safe deployment of autonomous trucks. At the core of the solution are stationary cameras combined with DeepScenario’s AI software, providing Torc with unparalleled data collection capabilities at critical locations. This allows Torc to significantly increase the efficiency of scenario mining and advance the safety of its autonomous trucks.


Moving from ADAS to HDAS - Humanised Driver Assistance Systems

Raunaq Bose
Humanising Autonomy
ADAS and AV technologies have so far had limited success in areas with high numbers of Vulnerable Road Users (VRUs) such as pedestrians and cyclists. The current approach is much too focused on the 'physics' of the situation (relative distances, velocities, and accelerations of VRUs), which does not reflect the reality of interactions and negotiations between vehicles and VRUs. Developing ADAS and AV technologies focused on the behaviour of VRUs, on top of their physics, is key for the widespread adoption of ADAS. This presentation will outline the performance and user benefits to a Humanised Driver Assistance System (HDAS).


Enabling Virtual Test & Validation – Self-Sovereign Identity via OIDC to enable Decentralized Open Data Markets

Carlo van Driesten
Systems architect for virtual test and validation
BMW Group
The goal of a virtually enhanced homologation process through the usage of driving simulators relies on the quality of the data used as input for the simulation. If HD Maps, driver models, scenarios, or sensor models, the integration of such elements in various systems throughout deep supply chains demand a common understanding brought by standards like e.g., OpenDRIVE from the ASAM e.V. OpenX. BMW explores the possibility to create an open and decentralized data ecosystem (ODDE) to increase the availability of standardized simulation data. The European research family GaiaX with the help of DLT technologies, self-sovereign identities and zero-knowledge proofs for selective privacy and scaling in open networks serve here as the technological baseline. We show the current state of the ODDE realized in the ENVITED (ENvironment for VIrtual TEst Drive) research cluster at the Automotive Solution Center for Simulation e.V.


Recommendation for a common understanding of ISO 26262 regarding autonomous

Tobias Traub
Functional Safety Expert
Technical regulations and recommendations do not yet fully account for the safety related availability of power supply systems. Specifically, the application of ISO 26262 on the power supply of autonomous vehicles is troublesome. Concurrently, engineers have gathered to write a recommendation (VDA 450) that facilitates the application of safe electrical power supply to other systems with safety related availability like autonomous vehicles. This presentation highlights the framework of the recommendation VDA 450 and it’s principles that are in compliance to ISO 26262 and suitable to ensure the safe power supply for autonomous vehicles.


The emerging importance of connected mobility for safety on roads

Thomas Jäger
Senior vice president
The presentation will cover the latest updates on road safety issues (DEKRA yearly road safety reports, global issues, vehicle type impacts); the latest V2x connectivity technology developments, deployments and related safety improvements; the latest regulatory and certification situation (EU, US and others); the latest updates on testing requirements for connected and automated driving; the most recent developments in regional and global interest groups; and the challenges and outlook.


Germany's autonomous driving law - Technical challenges and liabilty risks

Benjamin von Bodungen
Lawyer / Partner
Bird & Bird LLP
Germany has recently adopted one of the most innovative legal frameworks on self-driving vehicles in the world. Yet the new law also requires compliance with extensive requirements regarding vehicle design that manufacturers, suppliers and the engineering community must be aware of. The presentation will place particular emphasis on these technical challenges. For instance, autonomous vehicles must be equipped with systems for mastering dilemma situations that prioritize the interests at stake in the event of an unavoidable accident. Manufacturers also have to ensure safety against cyber-attacks throughout the entire vehicle life-cycle. Non-compliance bears significant risks of civil or even criminal liability.


How to maneuver in the stakeholder landscape when verifying and validating highly automated driving systems

Dr Majid K Vakilzadeh
AD V&V system architect


The AVL prototype "AutBus": Autonomous public transport in adverse weather

Armin Engstle
Site Manager AVL Roding
AVL Software and Functions GmbH
The core of the presentation becomes apparent in the evaluation of Lidar perception in adverse weather conditions respectively in different rain intensities and fog visibility ranges. The optimization of AD sensorsystems in adverse weather is a prerequisite for an all-day use of autonomous vehicles in public transport. The analysis clearly demonstrates, that the influence of fog on lidar perception is significantly higher than the influence of rain. Additionally it seems, that small rain rates with finer rain drops might be affecting lidar beams more than higher rain rates with thicker drops.


Unlocking the future: harnessing the power of digital twins

Ahmed Yousif
System simulation expert/simulation and HIL team leader
Valeo Detection Systems
In this presentation, we delve into the transformative potential of digital twins driven by advanced simulation technologies. Digital twins – virtual replicas of physical objects or systems – have become game-changers in various industries. We explore how simulation allows us to create highly accurate and dynamic digital twins, offering real-time insights into product performance, predictive maintenance and design optimization. By bridging the gap between the physical and digital worlds, digital twins enable informed decision making, reduced costs and enhanced efficiency.


TBC or panel

Benjamin Engel
Chief Technology Officer (CTO)


ESA's LEO-PNT mission: revolutionizing GNSS

Florin Grec
LEO-PNT mission and experimentation engineer
European Space Agency
In this presentation, we explore the European Space Agency's innovative Low-Earth Orbit PNT initiative, a project poised to significantly enhance GNSS systems. Particularly relevant to the automotive community, this development promises improved accuracy and reliability over traditional GNSS. By harnessing the closer proximity of low Earth orbit (LEO), the ESA's program aims to offer rapid, precise PNT data, crucial for the future of autonomous and connected vehicles. This presentation delves into the technical advancements, potential applications and the transformative impact of LEO-PNT on automotive navigation technologies.


CAV in-use monitoring metrics development

Ching-Yi Chen
Technical Consultant
The presentation will focus on developing comprehensive safety metrics for real-time monitoring of Connected and Automated Vehicles (CAVs). This monitoring ensures the operational safety of CAV systems and infrastructure in automated driving, remote operation, and advanced driver assistance system (ADAS) use cases. These metrics align with international safety assurance frameworks and standards for global relevance. Emphasis will be on detailed assessment methodologies to evaluate vehicle system and infrastructure performance. This critical approach feeds into the validation and verification of CAV safety arguments, facilitating safe and secure deployment.


Navigate towards the next-generation of automated driving & software-defined vehicle

Olivier SAPPIN
In the constantly evolving industry ecosystem towards the software-defined vehicle, the development of advanced driver assistance systems (ADAS) and Automated driving (AD) are at the forefront, promising enhanced safety and a better driving experience. However, the sheer complexity of these technology requires a paradigm shift in the development strategy to ensure success. This presentation will explore innovative methods based on model-based systems engineering, massive simulation and digital certification scenarios correlated with real on-track results for the delivery of safe and efficient highly automated technology. Key industrial projects with Automotive Carmakers will illustrate the usage of these methods and software solutions.


Measuring the quality of a scenario database

Sytze Kalisvaart
Senior project manager
Many companies have created scenario databases. One question remains open: what is a good scenario database? Based on work with Torc Robotics, EU SUNRISE and EU Hi-Drive, TNO will present approaches and metrics including metrics for identifying missing scenario categories, assessing scenario coverage related to specific environments or operational design domains (ODDs), determining the most common sequences or combinations of scenario categories, and comparing datasets across years. Examples will illustrate enriching the database with accidentology and edge cases. These metrics are essential for providing enough confidence in utilizing scenario databases to specify an ODD or test automated driving.


Transforming vehicle manufacturing: Redefining Sensor Selection Processes Through Cloud Technology

Danny Atsmon
CEO & Founder
The Automated Driving Perception Hub (ADPH) is a joint venture between Cognata, Microsoft, and AMD, providing an end-to-end solution for selecting sensor packages with confidence and efficiency. It combines Cognata’s ADAS simulation software, Microsoft’s Azure cloud, AMD GPUs, and sensor models supported by suppliers. We will address the complexities of selecting a sensor suite for ADAS and autonomous vehicles, offering a solution to help impede innovation and reduce costs. The platform enables engineers to run virtual tests and analyze sensor package alternatives, producing a cost/performance analysis in a matter of days instead of weeks.


Achieving True Redundancy for Autonomous Driving with Active Sensors

Nimrod Brickman
VP Business Development
Mobileye’s True Redundancy sensing solution defies industry norms with independent subsystems serving as backups to one another. True Redundancy’s two parallel AV sub-systems with two independent models of the driving environment – one from cameras, one from radar and LiDAR – each operating independently of the other, creates an environment in which high benchmark accuracy levels in AI for autonomous vehicles are feasible. In this presentation, Mobileye’s Nimrod Brickman will explore the research and development behind True Redundancy and the significant advantage the approach enables in real-world deployments. The presentation will highlight progress from Mobileye’s in-house development of active sensors.


Advancing Autonomous Driving through ADAS and V2X Communication

Khaled Alomari
Manager - Connected Vehicles
MHP A Porsche Company
This presentation explores the intersection of Advanced Driver Assistance Systems (ADAS) and Vehicle-to-Everything (V2X) communication, illuminating the transformative impact of connectivity in autonomous driving. The benefits of this symbiotic relationship are explored, emphasizing improved safety, enhanced traffic efficiency, and rapid response to dynamic road conditions. Key ADAS functions are scrutinized in the context of real-time data exchange, situational awareness, and predictive analytics enabled by V2X connectivity. Real-world case studies underscore successful applications of V2X in ADAS, showcasing tangible positive impacts on safety and operational efficiency. The presentation concludes with a forward-looking perspective, envisioning the future potential of ADAS with V2X.


Rapid SW and HW prototyping for automated driving: sensor and function benchmarking with JUPITER platform

Dr Clara Marina Martinez
Engineer - ADAS virtual development
Porsche Engineering Services
The race to release next-generation ADAS is slow and expensive. Complex ADAS functions are developed using theoretical sensor specifications and can only be tested in late project stages. In Porsche Engineering we have accelerated the time to vehicle testing of our ADAS algorithms by means of our JUPITER vehicles. JUPITER is a fully scalable rapid prototyping platform for ADAS that allows for early close-to-series testing. It integrates state-of-the-art ADAS algorithms, is equipped with high-performance ASIL-D Middleware and scalable data exchange, and is interoperable and real-time capable. We will present the sensor benchmark use case as a teaser of the plethora of possibilities that JUPITER offers.


Simulation-based critical scenario identification and analysis for automated driving

Adam Molin
Technical Manager
Verification and Validation processes play a vital role in ensuring the safety and reliability of autonomous vehicles. Scenario-based testing has emerged as an effective approach for identifying critical scenarios that challenge the capabilities of automated driving systems. This presentation aims to explore the usage of scenario-based testing to automatically identify critical factors by data analysis within a simulation. Built on experience from various R&D projects, we will share our best practices and insights for critical scenario identification to maximize efficiency and coverage.


Enhancing autonomous vehicle development through simulation with aiSim

Daniel Tosoki
Product Director
Explore the critical role of perception simulation in developing safe and reliable autonomous vehicles. This keynote offers an in-depth look at aiMotive's aiSim and its capabilities in simulating real-world sensor data to train and validate perception systems. Learn how aiSim empowers engineers to create highly realistic and challenging scenarios for perception algorithms, ensuring they are prepared for complex road environments. Discover the impact of perception simulation on accelerating the development of AI-driven perception in self-driving technology.


method development for head-on scenarios

Carina Björnsson
Technical expert, driver assistance and active safety test methods
Volvo Car Corporation


Real-world accident scenario simulation

Thomas Unger
Head of data analysis and simulation
Verkehrsunfallforschung an der TU Dresden GmbH
The GIDAS (German In-Depth Accident Study) database contains detailed information about accidents and the GIDAS Pre-Crash Matrix (GIDAS-PCM) offers the possibility to observe the pre-crash phase. The GIDAS-PCM contains all relevant data to simulate the pre-crash phase. This includes the characteristics of the participants, the dynamic behavior of the participants as a time-dependent course as well as the geometry of the traffic infrastructure. The paper shows the conversion progress of GIDAS data in OpenDrive and OpenScenario. A detailed investigation of active safety systems in real accident situations has been made feasible and the importance of simulating real-world accidents is shown.


Optimizing ISA Experience: City Data Validation Strategies to improve quality of digital maps with speed limits

René Spaan
Laan door de Veste
City of Helmond (NL)
In its dedication to road safety, City of Helmond actively participates in international projects concerning Intelligent Speed Adaptation (ISA) to address speeding concerns, both real and perceived. ISA, recognized for preventing 20% of fatal accidents, notifies drivers of speed limits for compliance. René Spaan examines ISA readiness in medium-sized cities, emphasizing data validation for an seamless user experience. During readiness assessment for ISA-equipped cars, Helmond observed inaccuracies in speed advice due to unvalidated digital maps lacking verified speed limits. As part of the project, a validation and feedback loop was established between the road authority and the Dutch national access point to optimize the national digital maps of speed limits, usable by third parties.