ADAS system testing and development using the next generation of pedestrian target
DRI explain why they have developed the next generation of pedestrian target and how it makes ADAS system development and testing more efficient.
Scaling hardware-in-the-loop validation to reduce ADAS/AD development time and costs
Dell Technologies and dSPACE experts describe how modular HiL/SiL systems and end-to-end data management can come together to offer the most flexible, complete system for simulation and validation.
mmWave radar design for automotive applications
Dr Marta Martínez Vázquez of Renesas presents the basics of mmWave radar for automotive applications and underline the challenges and trade-offs in radar design.
Engineering data science – driving the future of mobility
FEV’s Dr Umesh N. Hivarkar explains the role engineering data science will play in shaping the future of mobility.
Fault-tolerant motor control in powertrain applications
NXP’s Baptiste Vignasse and Jérôme Dietsch explain how to increase fault tolerance and maintain motor control functionality if failure occurs.
How to stay ahead of the game as NCAP safety protocols unfold
Sjon Kuijpers of HERE Technologies and Martin Pfeifle of NNG explain how automakers can equip their vehicles with intelligent insights to help reduce driver errors.
Software-defined vehicle diagnostics – keeping the ‘software on wheels’ in motion
KPIT’s Stefan Zeppetzauer and Amit Shah present a comprehensive approach to electro-mechanical diagnostics coupled with the diagnostics of software running on HPCs within the software-defined vehicle.
Securing automotive system-on-chip platforms
Omar Alshabibi of ETAS explains how to address security challenges for complex automotive SoCs.
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.
E/E architecture evolution – reference design with proof-of-concept use case
Dr.-Ing. Adam Korbel of Renesas explains how to support new automotive E/E architectures with dedicated “winning combo” chipset solutions.
Model-based software development and validation: speeding up the product cycle with decreased iteration
Elektrobit’s Bastian Speth explains how to remove bottlenecks in the software development process.
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.
ADAS system testing and development using a new type of soft motorcycle target
Experts from AB Dynamics and DRI explain how to make ADAS system development and testing more efficient using a new type of motorcycle target together with an 80 km/h test platform.
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.
Quality assurance in data annotation as a service
In this free, 60-minute webinar, Sasken’s Ananda Jana presents a structured approach to achieving quality assurance in data annotation.
Avoid misunderstanding of NAND flash in automotive applications
Russell Ruben from Western Digital discusses some of the concerns and misunderstandings stakeholders might have regarding in-vehicle NAND flash.
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.
A data-driven approach to boosting vehicle development efficiency
AVL’s Nikolaus Keuth and Gerhard Schagerl present a data-driven methodology and related big data toolchain to create better insights and make the vehicle development process more efficient.