Accelerating vehicle intelligence with machine learning
NXP’s Gergely Simon and Nikhil Reddy Kothapally explain how to use the S32 eIQ® Auto platform to enable deployment of trained models for S32 Automotive Platform devices.
Autonomous Vehicles
An introduction to vehicle safety
Experts from Continental provide unique insight into the evolution of active safety technologies, from advanced driver assistance systems to autonomously acting solutions.
Integration of cockpit and ADAS functions in software-defined vehicles
Raj Reddy of ECARX explains how the rising compute power of SoCs is expanding the scope of centralization, leading to the merging of IVI and ADAS/AD functionalities.
Six key takeaways from the 2023 State of Automotive Software survey
Experts from Aurora Labs and TechInsights present six insights from the recently published annual Automotive Software Survey.
Architecture for future autonomous vehicle restraint systems
Continental’s Andreas Forster provides unique insight into a future-proof safety system, which considers individual characteristics and dynamic seating positions to provide optimal protection in any crash situation.
Accelerating HPC implementation for SDV diagnostic development use cases
KPIT experts discuss key diagnostics architectural nuances pertinent to the SDV design phase and explain how to define a software diagnostics strategy.
New software solutions for a revolutionary approach to automotive simulation
VI-grade experts present a dynamic approach to simulation software usage that can help engineers overcome the challenges caused by the increasing complexity of vehicle systems.
Transforming vehicle manufacturing: redefining sensor selection processes through cloud technology
Cognata, Microsoft, and AMD experts discuss strategies to streamline sensor selection processes utilizing groundbreaking cloud technologies and collaborative ingenuity.
Implementing automotive software update management systems with ISO 24089
UL’s CheeKheong Lin and Jako Fritz explain how ISO 24089 can help vehicle and component manufacturers implement software update management systems within their organizations.
Instant-on in zonal architectures
Bernd Elend and Osvaldo Romero explain how NXP’s system experiences in wake-up and low power can support use cases and wake-up requirements.
The unified development approach at Dana – a process journey
Dana’s Brecht Fevery and Erich Meier of UL Solutions discuss how to create development processes that are a reference process framework for an entire organization.
Leveraging real-time vehicle modelling for vehicle setup and design
Scott Bergeon of VI-grade explores the key aspects of real-time vehicle modelling and analysis and reveals the latest techniques for optimizing models for exceptional performance.
Software for fail-operational systems – a game-changer for tomorrow’s autonomous vehicles
Elektrobit’s Lucian Badescu explains why autonomous vehicles complying with SAE Levels 3 to 5 require fail-operational x-by-wire E/E systems.
Faster time to value: accelerating process improvement with the Automotive Process Framework (APF)
Claudia Filpes and Erich Meier of UL Solutions explain how the Automotive Process Framework (APF) can dramatically accelerate this process improvement.
Driving design decisions: unlocking multi-attribute simulation
Dave Bogema of VI-grade explains how to use a simulator to bridge the gap between objective data and subjective customer experiences.
Achieving automotive safety and security standards: a practical integrated approach
Bill Taylor of UL Solutions discusses an efficient, integrated approach for meeting the ever-growing need for standards compliance, including functional safety, cybersecurity, SOTIF, and more.
E-mobility transformation: unlocking the toolbox by using selective adhesion LSR to solve fabrication challenges
Experts from Dow introduce a liquid silicone rubber solution that improves efficiency when designing and fabricating various automotive applications.
Edge data management for software-defined vehicle
Experts from NXP and ITTIA explain how to develop advanced applications using smart edge data management for software-defined vehicles.
Advanced techniques for bridging AV data gaps – Applied Explainability and virtualized sensor simulation
Experts from Tensorleap, Cognata, and Foresight discuss ways to overcome the complexities of developing automotive AI, resolving model weaknesses, and pinpointing the data you need.
Driverless durability and misuse track testing for improved efficiency, safety and data quality
Experts from AB Dynamics explain how driving robots can be used instead of human drivers to improve the efficiency and outcomes of durability and misuse track testing.