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.
Filter by Topic
Filter by Knowledge Partner
Search
Efficiency-based design of a hydrogen ICE for commercial vehicle applications
Experts from FEV discuss the role of efficiency-optimized hydrogen internal combustion engines in reducing emissions in commercial vehicle applications.
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.
Overcoming in-vehicle communication challenges in a physically zonalized, logically-centralized architecture
NXP’s Lulu Chan discusses communication-related challenges in software-defined vehicles and corresponding standardized coping mechanisms.
Shift left: electronics architectures for the software-defined vehicle
NXP’s Andy Birnie presents a high-level overview of the technology behind the software-defined vehicle and provides insight into the implications for hardware and software.
From carbon footprint to the future: CO2 compliance as a mandatory entry ticket to markets, customers and financing
Experts from AVL and Strategy Engineers explain how companies can practically measure their CO2 footprint, which governance structures are proven, and how a structured funnel process can optimize product development.
Towards a ‘software-defined vehicle’ future with KPIT and AWS
Experts from KPIT and Amazon Web Services experts discuss the software-defined vehicle journey and joint offerings that contribute to efficient virtualization.
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.
Improving traction inverter efficiency with high-voltage, isolated gate drivers
NXP’s Namrata Pandya explains how to improve the efficiency and safety of HEV/EV traction inverters using a programmable high-voltage gate driver.
Leveraging PEM advancements to address the challenges of replacing diesel engines
Simon Cleghorn of W. L. Gore discusses the challenges of fuel cells for heavy-duty long-haul vehicles and explains why they are an attractive technology for this application.
UniMap: the new era of mapmaking
Steve Harding of HERE Technologies explains the impact of recent advancements in digital maps and their effects on the global industry.
Seven essentials for your cybersecurity management system and gap analysis
Karamba’s Assaf Harel examines the cybersecurity management system process from the perspectives of both the cybersecurity provider and the customer.
Design optimization in automotive product development using AI/ML algorithms
KPIT experts explain how to use physical testing and simulation data to address everyday design challenges in automotive applications.
How to drive the circular economy in the automotive sector
Experts from Ricardo discuss the key drivers for circularity and provide practical advice on deploying circular economy business models and applying life cycle assessment to inform decision-making.
An introduction to electric power measurement
HBK’s Sönke Treinies explains how to test inverter-driven electrical machines, and where and how a modern, high-end power analyzer can help to understand and optimize the devices under test.
From compliance to action. Is being only compliant enough for cybersecurity?
Thought leaders from Upstream, ServiceNow, and Deloitte discuss automotive cybersecurity regulatory compliance for OEMs based on R155 (CSMS) and R156 (SUMS).
Solving electric vehicle challenges with predictive machine learning
Chris Handley of HERE Technologies explores the challenges of EV adoption and the solutions that HERE Technologies has developed to address them.
Towards software-defined vehicle development
Experts from ZF, Microsoft, and AVL discuss solutions to enable a smooth transition to a continuous software deployment while ensuring software quality and security requirements.
How to model fault propagations in a complex mixed-criticality and mixed-compliance software system
Elektrobit’s Lukas Bulwahn and Michael Armbruster explain how to model a software architecture that enables the development of a software system free from interference between architectural elements.
Achieving more realistic VRU testing using a turn-on-the-spot ADAS test platform
Steph Lavallin, Andrew Pick and Leo Evans of AB Dynamics explain how to optimise vulnerable road user (VRU) testing with a new, manoeuvrable platform that better replicates urban ADAS scenarios.