Core Insights - Tesla has identified three core challenges in autonomous driving during its presentation at ICCV2025, which have been widely discussed in both academia and industry [3][6][7] - The event features discussions on solutions to these challenges, including insights from researchers at the University of Hong Kong [3][11] Group 1: Core Challenges - The three main challenges in Tesla's end-to-end architecture for autonomous driving are dimensionality disaster, interpretability and safety guarantees, and closed-loop evaluation [6][7] - Solutions proposed include UniLION, DrivePI, and GenieDrive, which aim to address these challenges [6][13] Group 2: Technical Insights - The presentation includes a detailed explanation of Tesla's end-to-end technology evolution and FSD v14 [6][13] - The discussion will also explore the concept of a general artificial intelligence that can understand and interact with the physical world [6][13] Group 3: Additional Content - The event will provide deeper insights into the technical details, Q&A, and previously unpublished content related to autonomous driving [14] - There will be discussions on the divergence between academic research and mass production, as well as ongoing technical debates in the industry [14]
AI Day直播 | 如何解决特斯拉提出的端到端三大挑战?