End-of-line testing of EV components – mastering automotive gateway solutions
Join Markus Demaria of HMS Networks to learn how to overcome in-vehicle network challenges during EoL EV components testing.
Testing and Validation
Pre-crash safety simulation for function development and visualization
Join Continental’s Andreas Forster to gain insight into the role of simulation in the pre-crash phase.
Deploying end-to-end application software on automotive ethernet switches within an AUTOSAR-inspired middleware
Join experts from ETAS to gain practical insights into deploying AUTOSAR in high-performance Ethernet switches.
EVolve Mobility: halving test times with smarter model integration across the EV dev chain
Join experts from AVL to discover how to reduce EV development complexity and cost while boosting test coverage and traceability.
Unlocking data insights using Investigation and Diagnostic Modes in VI-DataDrive Cloud
Join VI-grade experts to discover how the Investigation and Diagnostic Modes in VI-DataDrive Cloud can transform the vehicle development process.
How to accelerate automotive software development and validation with AI
Join Emre Gözütok of ASAP Group to discover how AI-driven validation is revolutionizing automotive software testing and verification.
AI-driven value creation across the automotive V-cycle
Join experts from Continental Engineering Services to discover how to unlock efficiency and quality through smart process integration.
Accelerating AUTOSAR projects with the global RTA-CAR “pit crew”
Experts from ETAS explore performance tuning strategies for AUTOSAR projects, focusing on how regional teams enhance BSW development processes.
How simulation is revolutionizing automotive design in the software-defined vehicle era
Join VI-grade’s Dave Bogema as he revisits key moments from the 2025 ZERO Prototypes Summit.
EMC test solutions – proven, efficient and from a single source
AVL’s Bennet Böker and Patrick Hansmann discuss the role of EMC testing in developing modern vehicles and systems.
Build, validate, and scale software-defined vehicles – before the hardware even exists
Join experts from Continental, Arm, AWS, and Elektrobit to learn how to use virtualization to accelerate production-grade software delivery.
EV inverter hardware development: when active power makes the real difference
Join AVL’s Matthew Hortop to discover how to shorten inverter hardware development schedules, reduce costs, and improve test coverage.
Practical insights into optimizing AUTOSAR multi-core distributions
Join experts from ETAS to find out how to implement proven strategies to ensure scalable, cost-effective BSW development.
EVolve Mobility: from months to days – mastering daily software updates
Join AVL’s Nikolas Schuch and Markus Kammerhofer to discover how to master daily software updates by tightly integrating calibration teams.
Overcoming connectivity challenges in ADAS/AD – strategies for seamless multi-WAN networks
AVL’s David Lenk explains how to overcome connectivity challenges in ADAS and autonomous driving applications.
Ensuring software-defined vehicle infrastructure safety
Join UL Solutions’ Pete Brink to gain insight into the SDV infrastructure and the requirements and expectations that go into it to satisfy safety functionality.
Speed up product development with streamlined safety, security, and quality
Join UL Solutions’ Erich Meier to gain insight into pragmatic approaches that can be immediately applied to speed up product development processes.
Accelerating vehicle controller development with VI-CarRealTime and Simulink
Join Scott Bergeon of VI-grade to find out how to integrate, simulate, and test vehicle controllers in a dynamic virtual environment.
EVolve Mobility: critical elements for excelling in electric powertrain development and testing
Join AVL’s Gerald Sammer to learn how to achieve innovation throughout the entire value chain, from battery cells to complete vehicle integration.
How to autonomously find bugs in automotive software with AI-powered fuzz testing
Khaled Yakdan of Code Intelligence explains how to leverage Large Language Models to automate fuzz testing and help uncover bugs with minimal human involvement.