ADAS simulation integration within the vehicle development process
Iain Dodds of VI-grade explains how a combination of software simulation solutions can facilitate a zero prototypes development process.
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.
Navigating the complexities of automotive ISP tuning and image quality for vision-based perception systems
KPIT’s Radhesh Bhat explains the challenges of tuning the automotive ISP and how having a sophisticated ISP tuning tool environment helps achieve the desired image quality.
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.
Radars used in autonomous vehicles are changing rapidly. Are you software ready?
KPIT’s Santhana Raj discusses critical software approaches, architectures, and solutions for the new age of radars in autonomous vehicles.
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.
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.
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.
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.
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.
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.
Transforming the automotive industry with innovative hardware and intelligent software
Experts from Marvell and Elektrobit explain how innovative hardware solutions and intelligent software can jointly deal with the challenges posed by emerging connected vehicle trends.
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.
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.