AVL’s Gerhard Schagerl and Alwin Tuschkan explain how to use electric vehicle battery data analytics to support design decisions, optimize operation, and predict issues in the field.
Stéphane Turlier of Electra Vehicles and NXP’s Maciek Krawczyk discuss current and future considerations for EV battery packs and management systems.
AVL experts explain how to use machine learning to intelligently monitor the health of the unit under test and the overall system.
FEV’s Dr Umesh N. Hivarkar explains the role engineering data science will play in shaping the future of mobility.
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.
Humanising Autonomy’s Raunaq Bose and Pier Paolo Porta of semiconductor design company Ambarella discuss AI applications for the automotive and urban mobility industries.
Experts from Continental, IBM, and Zeiss present a general introduction to AI and explain how to leverage it to predict upcoming road conditions.
AVL’s Matthieu Clauet and Hongbo Sun explain customer pain points during the durability testing process and how to achieve optimum validation and development results using AI.
Experts from AVL and Ducati discuss the advanced methodologies, tools, and facilities that helped optimize the engine performance of the motorcycle that won the 2020 MotoGP Constructors World Championship.
Experts from SOMIT Solutions and KPIT discuss an AI-based diagnostics solution, which seamlessly integrates root-cause diagnosis with the corresponding repair/service information.
b-plus automotive experts explain how software-based planning and AI-based data evaluation of test drives can make highly-efficient use of existing test resources possible.
NNG’s Martin Pfeifle, Christoph Bonik of Artisense, and atlatec’s Henning Lategahn discuss their collaboration on augmented reality lane-level guidance.
Elektrobit’s Nazareth Samson presents a bird’s-eye view of augmented reality and explains its role in the future of mobility.
Experts from HERE Technologies provide unique insight into data annotation, the process of humans labelling static and dynamic imagery so machines can understand what they are ‘seeing’.
Nexar’s Roni Floman explains how cameras will impact the vehicle market and what that means for OEMs and their suppliers.
Qualcomm’s Riccardo Calabro discusses the auto industry’s digital transformation and explains how 5G will be the connectivity fabric for future vehicles.
KPIT’s Omkar Panse outlines how automakers can take advantage of the revenue growth opportunities offered by data-driven services.
Appen experts look at uses and types of training data, case studies for different data types, and the best ways to future proof your data to ensure great mileage for your AI projects.
Mark Pfeiffer, CTO and Co-Founder of SiaSearch, discusses how data recordings can be made easily accessible through content-based search.
Borislav Nazarski, Elektrobit’s testing and validation expert, explains how to overcome the challenges involved in automating UI tests.