Winter is coming: how AI predicts slippery road conditions and enables automated driving
Experts from Continental, IBM, and Zeiss present a general introduction to AI and explain how to leverage it to predict upcoming road conditions.
Expediting e-powertrain durability testing with artificial intelligence
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.
AI-based fast dynamic DoE methodology for motorcycle race engine performance optimization
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.
Accelerating automotive aftersales diagnosis and repair by leveraging artificial intelligence
Experts from SOMIT Solutions and KPIT discuss an AI-based diagnostics solution, which seamlessly integrates root-cause diagnosis with the corresponding repair/service information.
How to level up your test drive experience: an efficient approach using existing test resources
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.
Accelerating the development of augmented reality lane-level guidance: fusing HD-enriched maps with 6D environmental data
NNG’s Martin Pfeifle, Christoph Bonik of Artisense, and atlatec’s Henning Lategahn discuss their collaboration on augmented reality lane-level guidance.
How automotive augmented reality is “Changing The Way We See”!
Elektrobit’s Nazareth Samson presents a bird’s-eye view of augmented reality and explains its role in the future of mobility.
Data annotation – how AI learns from humans
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’.
What will drivers do with all this car camera vision?
Nexar’s Roni Floman explains how cameras will impact the vehicle market and what that means for OEMs and their suppliers.
The transformational impact autonomous driving will have on cars and the transportation system
Qualcomm’s Riccardo Calabro discusses the auto industry’s digital transformation and explains how 5G will be the connectivity fabric for future vehicles.
Servitization opportunities for automakers with a future-ready service delivery platform
KPIT’s Omkar Panse outlines how automakers can take advantage of the revenue growth opportunities offered by data-driven services.
Building the road to the future with training data for autonomous vehicles
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.
How to improve data accessibility for efficient autonomous vehicle development
Mark Pfeiffer, CTO and Co-Founder of SiaSearch, discusses how data recordings can be made easily accessible through content-based search.
How to use artificial intelligence to automate vehicle user interface tests
Borislav Nazarski, Elektrobit’s testing and validation expert, explains how to overcome the challenges involved in automating UI tests.
C-V2X: The future of 5G and smart transportation
Dino Flore and Jim Misener of Qualcomm provide insight into the benefits of C-V2X, and how it improves predictability for enhanced road safety and autonomous driving.
The automotive industry after COVID-19 – discovering the unseen trends
PatSnap‘s Kim Boloorian and Kavya Kumaresan provide insight into what the future of innovation will look like for the global automotive industry.
Complete data-driven development for autonomous vehicle implementation
Jace Allen of dSPACE provides unique insight into how the company’s data-driven development solution can help achieve a complete V&V strategy for ISO 26262 and ISO/PAS 21448 (SOTIF) certification.
How to unlock and monetize data for real-time use cases in series production cars
Teraki’s Daniel Richart and Geert-Jan van Nunen discuss how the company enables use cases for connected and autonomous vehicles.
Comprehensive data pipelines for automotive AI
Appen’s Rahul Parundekar and Andrea Butkovic provide insight into why high-quality annotated training data is essential for effective autonomous drive AI systems.
Modern day E-Cockpit architecture: approaches and challenges
Experts from Tata Elxsi provide a high-level overview of approaches for modern-day E-Cockpit architecture and the various challenges involved.
