Frontloading HMI development in the automotive engineering process
A panel of industry experts discuss how HMI challenges are being approached and handled today within the context of the modern automotive vehicle development process.
Autonomous Vehicles
Making artificial intelligence and machine learning safe
NXP’s Andres Barrilado explains how AI and ML will make their way into automotive safety functions as we consider how to avoid systematic failures and define new problem statements around inference to provide safety-related functions.
Exploring behaviour AI: automotive applications
Humanising Autonomy’s Raunaq Bose and Pier Paolo Porta of semiconductor design company Ambarella discuss AI applications for the automotive and urban mobility industries.
Physical layer testing challenges of high-speed in-vehicle networks
Jae-Young Chang of Keysight Technologies examines the changes sweeping automotive in-vehicle technology and the accompanying signal integrity challenges.
Safe and predictable automated driving with location technology
Tim Wouda of HERE Technologies analyzes the emergence of highly automated driving and provides insight into how location intelligence accelerates market introduction.
The shifting focus of NVH in electrified vehicles
Experts discuss how NVH challenges are being approached and handled today within the context of the modern electric vehicle development process.
Moving vehicle safety function testing into the lab
Keysight’s Aaron Newman and Richard Ludwig present a novel approach to providing a dynamic, high-fidelity reflection environment for radar sensors.
Autonomous vehicles – the road to radar manufacturing success
Keysight’s Teng-Kee LOK delivers a deep-dive into high resolution 4D imaging radar leveraging Multiple-Input Multiple-Output (MIMO) wireless technology.
Next-generation vehicle diagnostics development – is your organization ready to cruise the fast lane?
KPIT experts explain how to overcome vehicle diagnostics challenges with an integrated development framework powered by a centralized data management system.
Faster 5G TCU End of Line testing for autonomous vehicles
Keysight’s Asish Jain explains the latest 3GPP specification for 5G NR FR1 RF tests and outlines what to test in a TCU at the manufacturing stage and why.
Innovative services solutions for tire NVH engineering
Dave Bogema and Rabah Hadjit explain how the combined services solutions of VI-grade and HBK support tire NVH engineering for noise source characterization, exterior noise and subjective evaluation of virtual prototypes.
Efficient and secure V2X PKI integration with a global harmonized solution
Norbert Bissmeyer and Omar Alshabibi of ETAS explain how OEMs can create efficient and secure V2X PKI integration with a global harmonized solution.
Hardware-in-the-Loop testing for cost-efficient ECU validation
VI-grade’s Christoph Ortmann explains how to enhance the system engineering process for vehicle development using an HiL solution for automotive applications.
Mastering precise vehicle positioning for autonomous driving applications
Tatiana Vyunova of HERE Technologies and Elektrobit’s Dirk Spiesswinkel explain how the integration of GNSS and precise positioning affect the electronic horizon platform for ISA.
ADAS / AD sensor validation: reproducible indoor testing versus real-world outdoor testing with ground truth
AVL’s Armin Engstle and Diego Turrado Blanco discuss the importance of systematic parameter variation for improving sensor perception during adverse weather conditions.
Scaling V2X deployments securely and reliably for autonomy
Sasken’s Vasudevan Mukundan and Debashis Panigrahi discuss a cloud-native framework that could scale V2X deployments reliably and securely, reducing cost and time-to-market.
Creating a trusted agile process for the safe deployment of automotive innovation
Craig Brown and Erich Meier of Method Park by UL discuss the importance of a trusted and agile process in keeping up with the pace of automotive innovation.
Precise location systems and the future of ADAS
Quectel’s Bryan Galusha explains how precise location data integrates and provides a key ingredient in ADAS and self-driving systems.
System engineering for highly automated driving – the safety directed design approach towards architecture definition
KPIT’s Rohit Jain discusses the critical considerations and approach for building a robust system for automated driving through a system engineering methodology.
Making intelligent speed assistance easy – a guide for OEMs
Dr. Martin Pfeifle and Philip Hubertus explain how to extend the value of ISA with NNG iGO.Ahead and HERE location intelligence.