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.
Appen’s Rahul Parundekar and Andrea Butkovic provide insight into why high-quality annotated training data is essential for effective autonomous drive AI systems.
Daniel Shwartzberg of Valens discusses the challenges faced by automakers with regards to in-vehicle connectivity and identifies some of the technical solutions that are available to them.
Experts from Tata Elxsi provide a high-level overview of approaches for modern-day E-Cockpit architecture and the various challenges involved.
Regulus Cyber’s Yoav Zangvil and Roi Mit discuss new developments in sensor fusion, SLAM, and GNSS cyber defence.
ZF’s Dr. Gahl Berkooz explains how automakers can capitalize on consumer and vehicle data to improve the user experience.
Experts from OpenSynergy and GENIVI discuss the benefits of standardization in the use of in-vehicle hypervisors.