Speakers
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Sebastian Siegl
Audi
Evolving PG for the development and validation of AD in different ODDs
Carlo van Driesten
BMW Group
Enabling virtual test & validation – self-sovereign Identity via OIDC to enable decentralized open data markets
Nils Katzorke
Mercedes-Benz AG
Agile scenario alteration: a framework to accelerate automated vehicle testing
Clara Marina Martinez
Porsche Engineering Services
Rapid SW and HW prototyping for automated driving: sensor and function benchmarking with JUPITER platform
Khaled Alomari
MHP, a Porsche company
Advancing autonomous driving through ADAS and V2X communication
Didier Wautier
Renault
From digital vehicle to virtual twin to immersive virtual twin
Hakim Mohellebi
Renault
Panel discussion - Utilising and integrating scenarios and ODDs to best achieve state of the art safety.
Andreas Richter
Volkswagen Commercial Vehicles
Implementing operational design domain for real-world operation
Phil Durston
Volkswagen AG
Panel Discussion - Building an integrated toolchain for safe & confident deployment of autonomous vehicle and ADAS technologies
Carina Björnsson
Volvo Car Corporation
Method development of test track testing of a head on scenario
Ali Nouri
Volvo Cars
Leashing AI: On challenges and solutions in autonomous vehicle safety assurance
Thorsten Püschl
dSpace GmbH
Reduction of the residual risk in a SOTIF-compliant validation process
Andres Aparicio
Applus IDIADA
Regulations and consumer testing requirements in the EU for ADAS and AD and compared to the rest of the world
Uwe Burckhardt
DEKRA
Evolving PG for the development and validation of AD in different ODDs
Thomas Jäger
DEKRA
The emerging importance of connected mobility for safety on roads
SUNRISE: the safety assurance framework for connected and automated mobility systems
Siddartha Khastgir
WMG, University of Warwick
Power to the people: democratizing safety for automated driving
Mattias Eriksson
Volvo Cars
How to battle the billion-mile problem using scenarios
Adam Molin
Denso Automotive Deutschland GmbH
Simulation-based critical scenario identification and analysis for automated driving
Emmanuel Arnoux
PFA
The SAM (Safety and Acceptability of Driving and Self-Driving Mobility) research project: results and perspectives
Hamid Serry
WMG, University of Warwick
Power to the people: democratizing safety for automated driving
Mohamed El Sobky
Valeo
Real-time lidar point cloud synthesis for L3 autonomous driving testing
Dániel Tósoki
aiMotive
Enhancing autonomous vehicle development through simulation with aiSim
Mike Dempsey
Claytex
Investigating the performance of perception sensors in winter conditions
Benazouz Bradai
Valeo
High Definition sensors redundancy and complementarity for extended autonomous vehicle ODD
Alain Piperno
UTAC
Automated vehicles Level 1-2-3-4-5: overview of regulation/Euro NCAP status and testing challenges
Ulrich Wurstbauer
Luxoft
Achieving scalable, safe autonomous driving software – a prerequisite or unnecessary?
Mahmoud Serour
BrightDrive
Transitioning from Simulation to Real World Deployment for Level 4 autonomous driving systems.
Matt Daley
rFpro
Creating high-quality training data through an integrated simulation solution
Oussama Ben Moussa
Capgemini
Omniverse and GenAI to accelerate the development and validation of ADAS
Pierre Delaigue
Vinci
Connected highways: a controlled & realistic testbed environment to validate ADAS/AD and V2X functions
Thomas Unger
Verkehrsunfallforschung an der TU Dresden GmbH
Real-world accident scenario simulation
Andre Burgess
National Physical Laboratory
Quantifying AV sensor performance during adverse weather conditions
Heiko Scharke
AVL List GmbH
Mastering the complexity of automated driving in projects beyond L2 with scenario-based testing paving the way to virtual homologation
René Spaan
City of Helmond (NL)
Optimizing ISA experience: city data validation strategies to improve the quality of digital maps with speed limits
Raunaq Bose
Humanising Autonomy
Moving from ADAS to HDAS – humanized driver assistance systems
Hannes Schneider
AVL
Mastering the complexity of automated driving in projects beyond L2 with scenario-based testing paving the way to virtual homologation
Richard Damm
KBA
Panel Discussion - Safe AI for Automated Driving: Reality or Fiction?
Ahmed Yousif
Valeo Detection Systems
Unlocking the future: harnessing the power of digital twins
Jens Buttgereit
Vector Informatik GmbH
Opportunities and challenges of integrating V2X in ADAS
Georg Stettinger
Infineon
Panel Discussion - Safe AI for Automated Driving: Reality or Fiction?
Plato Pathrose
Vinfast Germany
Journey toward software-defined connected and autonomous vehicles (SDCAV)
Nishant Khadria
Deloitte
Ensuring vehicle software quality in an autonomous and V2X ecosystem
Hong-Seok Lee
Korea Testing Laboratory (KTL)
From road to simulation in a nutshell
Gordan Galic
Xylon
Flexible HIL helps technology providers accelerate CI/CD capabilities
Dustin Black
Red Hat
Chasing milliseconds: how we optimized in-vehicle OS boot time
Sarah Gates
Wayve
Panel Discussion - Safe AI for Automated Driving: Reality or Fiction?
Holger Banzhaf
DeepScenario GmbH
Accelerating the safe deployment of autonomous trucks
Thomas Dannemann
Qualcomm
Flexible HIL helps technology providers accelerate CI/CD capabilities
Valeriy Savelyev
Integrated Quantum Photonics
New tendencies in lidar technology for autonomous vehicles
Matteo Oldoni
NVIDIA
Panel Discussion - Safe AI for Automated Driving: Reality or Fiction?
Maximilian Köper
Torc Robotics
Accelerating the safe deployment of autonomous trucks
Gregor Sievers
dSpace GmbH
Lab-based homologation of SAE Level 3 vehicles using multisensor simulation
Tobias Traub
Bosch
Recommendation for a common understanding of ISO 26262 regarding autonomous vehicles
Vincent Abadie
Stellantis
Panel discussion - Utilising and integrating scenarios and ODDs to best achieve state of the art safety.
Thomas Tentrup
KÜS Bundesgeschäftsstelle
Panel Discussion - Building an integrated toolchain for safe & confident deployment of autonomous vehicle and ADAS technologies
Frank Kraemer
IBM Germany
Accelerate AV development with data-driven automotive AI
Shay Rootman
Cognata
Transforming vehicle manufacturing: redefining sensor selection processes through cloud technology
Martin Herrmann
IPG Automotive GmbH
Real-time testing of automated driving functions using parallelization
Jonas Stüble
Bosch
Recommendation for a common understanding of ISO 26262 regarding autonomous vehicles
Adrian Bertl
b-plus technologies GmbH
Navigating challenges in autonomous driving data acquisition
Lutz Hoestermann
STMicroelectronics
Advanced in-cabin safety and comfort with new hybrid image sensors
Karla Quintero
IRT SystemX
Panel Discussion - Building an integrated toolchain for safe & confident deployment of autonomous vehicle and ADAS technologies
Dan Cauchy
Automotive Grade Linux
Accelerating Software Defined Vehicles through Open Source
Benjamin von Bodungen
Bird & Bird LLP
Germany's autonomous driving law – technical challenges and liability risks
Alexander F Walser
Automotive Solution Center for Simulation e.V.
Panel Discussion - Building an integrated toolchain for safe & confident deployment of autonomous vehicle and ADAS technologies
Vivetha Natterjee
Zeekr Technology Europe
Deploying a safe and trustworthy AV in different markets
Lucas Bublitz
P3 Automotive GmbH
Relevance of explainable AI and AI compliance for scaling AV fleets
Kai Wah Chan
TOPAS Industriemathematik Innovation gGmbH
Optimizing safe stop trajectories: synthesizing algorithms for autonomous vehicles
Georg Kuschk
Plus
Scalable software development addressing different levels of autonomy
Marius Dupuis
ASAM eV
Panel Discussion - Building an integrated toolchain for safe & confident deployment of autonomous vehicle and ADAS technologies
Isabel Capp
Centre for Connected and Autonomous Vehicles
Connected and Automated Mobility within the UK.
Tommy Johansson
Kognic
The significance of iterative understanding of ML data sets
Armin Engstle
AVL Software and Functions GmbH
The AVL prototype 'AutBus': autonomous public transportation in adverse weather
